Biografía:
Es físico y maestro en artes por el Queen’s College, Oxford, Reino Unido y tiene una maestría y doctorado en física de la University of Maryland, EUA. Realizó estancias posdoctorales en la Universiteit Utrecht, Países Bajos, donde trabajó con Gerard’t Hooft Premio Nobel 1999 en física, y en el Dublin Institute for Advance Studies, Irlanda con apoyo de una cátedra Marie Curie de la Unión Europea.
Actualmente, es investigador titular de tiempo completo en el Instituto de Ciencias Nucleares y coordinador de Ciencia de los Datos y miembro del Centro de Ciencias de la Complejidad (C3) de la UNAM. Es miembro regular de la Academia Mexicana de Ciencias.
Sus investigaciones abarcan campos como física estadística, sistemas complejos, computación evolutiva y minería de datos. Entre sus líneas de investigación se encuentran grupos de renormalización, fenómenos colectivos, algoritmos genéticos, econofísica y finanzas, complejidad ecológica, evolución y enfermedades emergentes.
Biography:
Has a bachelor’s degree in physics and master’s degree of arts from Queen's College, Oxford, United Kingdom and a master's degree and Ph.D. in physics from the University of Maryland, USA. He held postdoctoral positions at the Universiteit Utrecht, The Netherlands, where he worked with Gerard't Hooft 1999 Nobel Prize in Physics, and at the Dublin Institute for Advance Studies, Ireland where he attended as a Marie Curie Fellow European Union.
Currently, he is a full-time researcher at the Instituto de Ciencias Nucleares and coordinator of Data Sciences and a member of the Centro de Ciencias de la Complejidad (C3), UNAM. In 2001 he was elected as member of the Mexican Academy of Sciences.
His research covers fields such as statistical physics, complex systems, evolutionary computing and data mining. Among his main lines of research are groups of renormalization, collective phenomena, genetic algorithms, econophysics and finance, ecological complexity, evolution and emerging diseases.
Easton JF, Román Sicilia H, Stephens CR. (2018) Classification of diagnostic subcategories for obesity and diabetes based on eating patterns. Nutr Diet. Nov 5. doi: 10.1111/1747-0080.12495. [Epub ahead of print]
https://onlinelibrary.wiley.com/doi/epdf/10.1111/1747-0080.12495?referrer_access_token=TfmmmZwmkPOaho6UYYmko4ta6bR2k8jH0KrdpFOxC66oKU488rtbMYgrUbYtNKOh8CG4rOk9dRwg5wU3FqQUtZdFAMEZ03k5ToKQCtLc0F27yNs-TWrVcY2JVs973fS1mNwNeaxgSAs8L_l_DAXhPQ%3D%3D
Easton JF, Stephens CR, Román-Sicilia H, Cesari M, Pérez-Zepeda MU. (2018) Anthropometric measurements and mortality in frail older adults. Exp Gerontol. Sep;110:61-66. doi: 10.1016/j.exger.2018.05.011. Epub 2018 May 26.
https://www.sciencedirect.com/science/article/pii/S0531556517304230?via%3Dihub
González-Salazar C, Stephens CR, Sánchez-Cordero V. (2017) Predicting the Potential Role of Non-human Hosts in Zika Virus Maintenance. Ecohealth. 2017 Mar; 14(1):171-177. doi: 10.1007/s10393-017-1206-4. Epub 2017 Feb 8.
https://link.springer.com/article/10.1007%2Fs10393-017-1206-4
Biografía:
Doctor en física por la Université Pierre et Marie Curie, Francia, realizó estancias postdoctorales en la Universidad de Chile y en la Florida State University, antes de incorporarse al Instituto de Física de la UNAM, en el año 2002. Actualmente es jefe del departamento de Sistemas Complejos.
Ha sido profesor invitado en la UC Santa Barbara, UC San Diego y Stanford University en EUA; en la Université Toulouse III Paul Sabatier, Francia; la King Abdullah University of Science and Technology, Arabia Saudita; y el Max Planck Institute for the Physics of Complex Systems en Alemania.
Entre sus líneas de investigación están la física de polímeros, la formación de patrones en sistemas fuera de equilibrio, los fluidos activos, la modelación y análisis de sistemas sociales y redes sociales, la descripción estocástica de la movilidad animal, las caminatas aleatorias con memoria y la relación entre movilidad y estabilidad en ecosistemas, entre otros.
Biography:
Has a PhD in physics from the Université Pierre et Marie Curie, France and held postdoctoral positions at the Universidad de Chile and the Florida State University, before joining the Instituto de Física at UNAM in 2002. Currently he is head of the department of Complex Systems.
He has been a visiting professor at UC Santa Barbara, UC San Diego and Stanford University, USA; at the Université Toulouse III Paul Sabatier, France; the King Abdullah University of Science and Technology, Saudi Arabia; and at the Max Planck Institute for the Physics of Complex Systems, Germany.
Among his subjects of research are the physics of polymers, patter formation in off-balance systems, active fluids, social networks and social dynamics, statistical analysis and modeling of animal displacements, random walks with memory, the relationship between mobility and stability in ecosystems, among others.
Maya, M., Miramontes, O., & Boyer, D. (2017) On salesmen and tourists: Two-step optimization in deterministic foragers. The European Physical Journal Special Topics 226(3): 391-400.
http://scifunam.fisica.unam.mx/boyer/article57.pdf
Boyer, D., Evans, M. R., & Majumdar, S. N. (2017) Long time scaling behaviour for diffusion with resetting and memory. Journal of Statistical Mechanics: Theory and Experiment 2017(2): 023208.
http://scifunam.fisica.unam.mx/boyer/article56.pdf
Boyer, D., & Pineda, I. (2016) Slow Lévy flights. Physical Review E 93(2): 022103.
http://scifunam.fisica.unam.mx/boyer/BoyerPineda.pdf
Biografía:
Tiene un doctorado en Ciencias Biomédicas (Bioquímica) y otro en Filosofía por la Universidad Nacional Autónoma de México. Recibió una beca Rockefeller para realizar una estancia posdoctoral en biología de la reproducción en la University of Pennsylvania Medical Center y una beca Fogarty en obstetricia y ginecología para una estancia posdoctoral en el Oregon Primate Research Center.
Es profesor e investigador titular en la Facultad de Medicina de la UNAM, miembro del Sistema Nacional de Investigadores y responsable de la Unidad de Vinculación Científica de la Facultad de Medicina en el Instituto Nacional de Medicina Genómica (INMEGEN).
Sus líneas de investigación se enfocan en la fisiología y metabolismo del embarazo, complicaciones perinatales, parto pretérmino, preeclampsia, nutrición en el embarazo, obesidad y embarazo.
Biography:
Has a Ph.D. in Biomedical Sciences (Biochemistry) and a Ph.D. in Philosophy from the Universidad Nacional Autónoma de México (UNAM). He was a Rockefeller postdoctoral fellow in reproductive biology at the University of Pennsylvania Medical Center and a Fogarty postdoctoral fellow in obstetrics and gynecology at the Oregon Primate Research Center.
Currently, he is a full-time professor at the Facultad de Medicina, UNAM; member of the National System of Researchers from the National Council of Science and Technology, and head of the Scientific Liaison Unit of the Facultad de Medicina UNAM at the Instituto Nacional de Medicina Genómica (INMEGEN).
His research focuses on the physiology and metabolism of pregnancy, perinatal complications, preterm delivery, preeclampsia, nutrition during pregnancy and obesity and pregnancy.
Panaitescu, B., Romero, R., Gomez-Lopez, N., Pacora, P., Erez, O., Vadillo-Ortega, F., Yeo, L., Hassan, S.S. & Hsu CD (2018) ELABELA plasma concentrations are increased in women with late-onset preeclampsia. J Matern Fetal Neonatal Med. 22:1-11
https://www.tandfonline.com/doi/abs/10.1080/14767058.2018.1484089?journalCode=ijmf20
Miller, D., Romero, R., Unkel, R., Xu, Y., Vadillo‐Ortega, F., Hassan, S. S., & Gomez‐Lopez, N. (2018) CD71+ erythroid cells from neonates born to women with preterm labor regulate cytokine and cellular responses. Journal of Leukocyte Biology 103(4): 761-775.
https://www.ncbi.nlm.nih.gov/pubmed/29389020
Romero-Ibarguengoitia, M. E., Vadillo-Ortega, F., Caballero, A. E., Ibarra-González, I., Herrera-Rosas, A., Serratos-Canales, M. F., León-Hernández, M., González-Chávez, A., Mummidi, S., Duggirala, R. & López-Alvarenga, J. C. (2018) Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach. PLoS One Feb 21;13(2):e0193138
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0193138
Biografía:
Es físico por el ETH Zürich donde obtuvo su licenciatura y su doctorado. Realizó estancias posdoctorales en la University of Michigan en Ann Arbor y en la Boston University en Massachusetts. Actualmente es investigador titular de tiempo completo en el Instituto de Ciencias Físicas de la UNAM en Morelos, México.
Pertenece al Sistema Nacional de Investigadores y ha sido distinguido con la Medalla “Marcos Moshinsky” que otorga el Instituto de Física de la UNAM y el Premio “Jorge Lomnitz Adler” otorgado por la Academia Mexicana de Ciencias y el Instituto de Física de la UNAM.
Leyvraz se ha dedicado a estudiar fenómenos relacionados con agregación irreversible que juegan un papel primordial en la física de aerosoles y de coloides pero también se encuentran en otras ramas de la física, como son la astronomía (formación de sistemas planetarios de galaxias) e hidrodinámica (agregación de estructuras coherentes en turbulencia, por ejemplo).
Biography:
Received a BS and a Ph.D. in physics by ETH Zürich. He was a postdoctoral fellow at the University of Michigan in Ann Arbor and at Boston University in Massachusetts. Currently, he is a full-time researcher at the Instituto de Ciencias Físicas, UNAM in Morelos, Mexico.
He is member of the National System of Researchers and has been distinguished with the "Marcos Moshinsky" Medal awarded by the Instituto de Física, UNAM and the "Jorge Lomnitz Adler" Prize awarded by the Mexican Academy of Sciences and the Instituto de Física, UNAM.
Leyvraz has devoted himself to studying phenomena related to irreversible aggregation that play a major role in the physics of aerosols and colloids but are also found in other branches of physics, such as astronomy (formation of planetary systems of galaxies) and hydrodynamics (aggregation of coherent structures in turbulence, for example).
Calogero, F., & Leyvraz, F. (2014) A nonautonomous yet solvable discrete-time N-body problem. Journal of Physics A: Mathematical and Theoretical 47(10): 105203.
https://www.researchgate.net/publication/262987296_A_nonautonomous_yet_solvable_discrete-time_N-body_problem
Calogero, F., & Leyvraz, F. (2014) Many-Body Problem with Quadratic and/or Inversely-Quadratic Potentials in One-and More-Dimensional Spaces: Some Retrospective Remarks. Journal of Statistical Physics 155(4): 658-665.
https://link.springer.com/article/10.1007/s10955-014-0973-3
Salazar, A., Larralde, H., & Leyvraz, F. (2014) Temperature gradients in equilibrium: Small microcanonical systems in an external field. Physical Review E 90(5): 052127.
https://www.ncbi.nlm.nih.gov/pubmed/25493759
Biografía:
Obtuvo el grado de físico por la Facultad de Ciencias de la UNAM, México y el doctorado en Física por la Boston University , Massachusetts, EUA. Actualmente, es investigador titular de tiempo completo en el Instituto de Ciencias Físicas de la UNAM, en Cuernavaca, Morelos.
Pertenece al Sistema Nacional de Investigadores y en 2005 recibió el Premio “Jorge Lomnitz Adler” otorgado por la Academia Mexicana de Ciencias y el Instituto de Física de la UNAM por su trabajo de investigación en el campo de la dinámica no lineal y fenómenos colectivos así como en el tema de los procesos estocásticos.
Su trabajo se centra en el análisis de la física estadística con el objetivo de comprender cómo surgen los fenómenos macroscópicos a partir de los eventos microscópicos que describen las interacciones entre los componentes de un sistema. Entre sus líneas de investigación se encuentran la teoría y aplicaciones de caminatas aleatorias.
Biography:
Has a bachelor’s degree in physics from the Facultad de Ciencias at UNAM, Mexico and a Ph.D. in physics from Boston University, Massachusetts USA. Currently, he is a full-time researcher at the Instituto de Ciencias Físicas, UNAM, at Cuernavaca, Morelos.
He is member of the National System of Researchers and in 2005 he received the "Jorge Lomnitz Adler" Prize awarded by the Mexican Academy of Sciences and the Instituto de Física, UNAM for his research in the field of non-linear dynamics and collective phenomena as well as on stochastic processes.
His work focuses on the analysis of statistical physics in order to understand how macroscopic phenomena arise from the microscopic events that describe the interactions between the components of a system. Among his lines of research are the theory and applications of random walks.
Larralde, H., & Leyvraz, F. (2015) Three-dimensional diffusion with helical persistence. Journal of Physics A: Mathematical and Theoretical 48(26): 265001.
http://iopscience.iop.org/article/10.1088/1751-8113/48/26/265001
Salazar, A., Larralde, H., & Leyvraz, F. (2014) Temperature gradients in equilibrium: Small microcanonical systems in an external field. Physical Review E 90(5): 052127.
https://www.ncbi.nlm.nih.gov/pubmed/25493759
Espinal Enríquez, H. & Larralde, H. (2015) Analysis of Mexico's Narco-War Network (2007-2011). PLoS ONE 10(5): e0126503
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0126503&type=printable
Biografía:
Tiene un doctorado en ingeniería eléctrica e informática de la Purdue University, Indiana, EUA y realizó estancias postdoctorales en el Nijmegen Institute for Cognition and Information de la University of Nijmegen y en el National Research Institute for Mathematics and Computer Science de la University of Amsterdam, ambos en los Países Bajos.
Su trabajo en la genómica del cáncer abarca varios tipos. Junto con sus colegas desarrolló enfoques estadísticos para la clasificación, el diagnóstico y el pronóstico del cáncer, más tarde utilizados en el estudio de la metástasis, la progresión del cáncer y la heterogeneidad del tumor. También co-desarrolló un modelo de redes booleanas probabilísticas (PBNs) utilizado para estudiar redes reguladoras de genes en cáncer.
Desde 2005 trabaja en el Institute for Systems Biology donde actualmente es profesor. Dirige un Centro para Análisis de Datos Genómicos como parte del proyecto The Cancer Genome Atlas (TCGA) así como el consorcio Computational Core of the Systems Approach to Immunity and Inflammation.
Biography:
Has a Ph.D. in electrical and computer engineering from Purdue University, Indiana, USA and held postdoctoral positions at the Nijmegen Institute for Cognition and Information at the University of Nijmegen and at the National Research Institute for Mathematics and Computer Science at the University of Amsterdam, both in the Netherlands.
His work in cancer genomics research spans multiple types of cancers. He and his colleagues developed statistical approaches for cancer classification, diagnosis, and prognosis, and applied them to the study of metastasis, cancer progression, and tumor heterogeneity. He also co-developed the model class of probabilistic Boolean networks (PBNs), which was applied to the study of gene regulatory networks in cancer.
Since 2005 he is part of the Institute for Systems Biology where he is currently a Professor. He directs a Genome Data Analysis Center as part of The Cancer Genome Atlas (TCGA) project as well as the Computational Core of the Systems Approach to Immunity and Inflammation consortium.
Kang, C., Aguilar, B., & Shmulevich, I. (2018) Emergence of diversity in homogeneous coupled Boolean networks. Physical Review E 97(5), 052415.
https://journals.aps.org/pre/pdf/10.1103/PhysRevE.97.052415
Gibbs, D. L., & Shmulevich, I. (2017) Solving the influence maximization problem reveals regulatory organization of the yeast cell cycle. PLoS Computational Biology 13(6), e1005591.
https://journals.plos.org/ploscompbiol/article?rev=2&id=10.1371/journal.pcbi.1005591
Poole, W., Leinonen, K., Shmulevich, I., Knijnenburg, T., & Bernard, B. (2017) Multiscale mutation clustering algorithm identifies pan-cancer mutational clusters associated with pathway-level changes in gene expression. PLoS Computational Biology 13(4), e1005447.
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005347
Biografía:
Científico de datos que realiza investigación aplicada en el contexto de las ciencias de la complejidad, especializado en análisis de series de tiempo y simulación por computadora. Tiene un doctorado en Ciencias por el Instituto de Ciencias Nucleares de la UNAM. Para su investigación doctoral realizó simulaciones por computadora de flujos astrofísicos y se convirtió en el primer estudiante de esa institución en obtener un doctorado en Astrofísica.
En 2014, se unió al Centro de Ciencias de la Complejidad (C3) de la UNAM como investigador postdoctoral, donde trabajó en varios proyectos multidisciplinarios que van desde la medicina y la fisiología a las Ciencias de la Tierra, además de realizar trabajo teórico en ciencias de la complejidad a través de simulaciones por computadora.
Actualmente trabaja en el Instituto de Ciencias Nucleares, UNAM en la Ciudad de México, y continúa colaborando activamente con el C3. Uno de sus trabajos más recientes es el estudio de la pérdida de auto-regulación de la temperatura terrestre debido al cambio climático.
Biography:
He describes himself as a data scientist doing applied research in the context of complexity sciences, specializing in time series analysis and computer simulation. He has a Ph.D. in sciences from the Instituto de Ciencias Nucleares, UNAM. For his doctoral research he did computer simulations of astrophysical flows becoming the first student at that Institution to obtain a doctorate degree in Astrophysics.
In 2014, he joined the Centro de Ciencias de la Complejidad (C3) at UNAM as a postdoctoral fellow where he worked in various multidisciplinary projects ranging from medicine and physiology to Earth Sciences, as well as doing some theoretical work in complexity science through computer simulations.
He currently works at the Instituto de Ciencias Nucleares, UNAM in Mexico City, and continues to actively collaborate with the C3. One of his most recent projects is the study of the loss of self-regulation of the Earth's temperature due to climate change.
Toledo-Roy, J. C., Velázquez, P. F., De Colle, F., González, R. F., Reynoso, E. M., Kurtz, S. E., & Reyes-Iturbide, J. (2009) Numerical model for the SNR DEM L316: simulated X-ray emission. Monthly Notices of the Royal Astronomical Society, 395(1): 351-357.
https://doi.org/10.1111/j.1365-2966.2009.14517.x
Fossion, Ruben & Rivera, Ana Leonor & Toledo-Roy, Juan & Angelova, Maia. (2018) Quantification of Irregular Rhythms in Chronobiology: A Time- Series Perspective. 10.5772/intechopen.74742.
https://www.intechopen.com/citation-pdf-url/6026
Ramírez-Carrillo, Elvia & López-Corona, Oliver & Toledo-Roy, Juan & Lovett, Jon & De Leon, Fernando & Osorio-Olvera, Luis & Equihua, Julián & Robredo, Everardo & Frank, Alejandro & Dirzo, Rodolfo & Pérez-Cirera, Vanessa. (2018) Assessing sustainability in North America’s ecosystems using criticality and information theory. PLoS ONE 13. 10.1371/journal.pone.0200382
https://doi.org/10.1101/330415
Biografía:
Artista multimedia, productor e investigador interesado en el nexo del arte y la ciencia. Su interés se centra en la forma en que el pensamiento artístico combinado con la aplicación tecnológica puede influir y mejorar nuestras sociedades futuras. En 2002 produjo su primer trabajo significativo: Dancing to Architecture – a motion picture about TINA, un documental pionero de código abierto.
Su interés por producir arte experimental abarca una amplia gama de medios y disciplinas como la sociología, el cine, el teatro, la danza, la música, la ingeniería, la arquitectura, el diseño de interacción, la realidad virtual y la robótica.
Minski fue investigador líder durante 10 años en Ars Electronica Futurelab, Austria. Desde 2012 trabaja en estrecha colaboración con la Queensland University of Technology, Australia ayudando a construir una comunidad emergente con capacidad transdisciplinaria y desde 2015 es candidato a doctor por la University of Newcastle Australia. En 2018 fundó Ars Electronica Australia como codirector en colaboración con Lubi Thomas.
Biography:
Cross media artist, producer and researcher focused at the nexus of art and science. His main interest is the way in which artistic thinking combined with technological application can influence and improve our future societies. In 2002 he produced his first significant work: Dancing to Architecture – a motion picture about TINA, a pioneering open source documentary.
His interest for producing experimental art covers a wide range of media and disciplines such as sociology, cinema, theater, dance, music, engineering, architecture, interaction design, virtual reality and robotics.
Minski’s practice expanded to lead researcher during 10 years at Ars Electronica Futurelab, Austria. Since 2012 he has worked closely with Queensland University of Technology, Australia to build transdisciplinary capacity as an emerging community of practice and, since 2015, he is a PhD candidate at the University of Newcastle Australia. In 2018 he founded Ars Electronica Australia as a co-directorship with long-time collaborator Lubi Thomas.
Dancing to Architecture – a motion picture about TINA.
https://archive.org/details/DancingToArchitecture-AMotionPictureAboutTina
Biografía:
Psicóloga por la Universidad Anáhuac, realizó la maestría en Psicobiología y el doctorado en Ciencias Biomédicas en la UNAM. Desde 1995 es profesora titular de tiempo completo en la Facultad de Psicología de la UNAM.
Es miembro de la Academia Mexicana de Ciencias desde 1998 y miembro honorario de la Asociación Mexicana de Neuropsicología. En 2018 recibió el Premio de Psicología 2018 otorgado por la Sociedad Mexicana de Ciencias Fisiológicas.
Entre sus líneas de investigación se encuentran el análisis de la actividad eléctrica cerebral para estudiar los estadios de vigilia y sueño, la efectividad de diversos métodos para calcular la sincronía eléctrica cerebral y el estudio de la actividad cerebral durante la realización de tareas cognitivas durante la vigilia.
Biography:
Has a bachelor’s degree in psychology from the Universidad Anáhuac México. She received a master's degree in psychobiology and a Ph.D. in biomedical sciences from UNAM. She has been a faculty member of the Department of Psychology at UNAM since 1995.
She was elected to the Mexican Academy of Sciences in 1998 and is also honorary member of the Mexican Association of Neuropsychology. In 2018 she received the Psychology Award 2018 awarded by the Mexican Society of Physiological Sciences.
Her research focuses on the analysis of brain electrical activity to study the sleep and wake stages, the effectiveness of various methods to calculate electrical brain synchrony and the study of brain activity during the performance of cognitive tasks during wakefulness.
Corsi‐Cabrera, M., Velasco, F., del Río‐Portilla, Y., Armony, J. L., Trejo‐Martínez, D., Guevara, M. A., & Velasco, A. L. (2016) Human amygdala activation during rapid eye movements of rapid eye movement sleep: an intracranial study. Journal of sleep research 25(5): 576-582.
https://www.ncbi.nlm.nih.gov/pubmed/27146713
Corsi-Cabrera, M., Rojas-Ramos, O. A., & del Río-Portilla, Y. (2016) Waking EEG signs of non-restoring sleep in primary insomnia patients. Clinical Neurophysiology 127(3): 1813-1821.
https://www.sciencedirect.com/science/article/pii/S1388245715010743
Corsi-Cabrera, M., Rosales-Lagarde, A., del Río-Portilla, Y., Sifuentes-Ortega, R., & Alcántara-Quintero, B. (2015) Effects of selective REM sleep deprivation on prefrontal gamma activity and executive functions. International Journal of Psychophysiology 96(2): 115-124.
https://www.ncbi.nlm.nih.gov/pubmed/25746726
Biografía:
Recibió su doctorado en física de la University of California, Los Ángeles (UCLA) en 2003. Actualmente es directora asociada del Institute for Pure and Applied Math y profesora en el departamento de biomatemáticas en la UCLA. También es profesora en el Institute for Sustainability y en el departamento de matemáticas de la California State University Northridge.
D’Orsogna estudia una amplia gama de temas dentro de la biología y la sociología como el modelado matemático de la dinámica neuroendócrina, la inmigración, diversos procesos de las infecciones virales, la formación de hot-spots del crimen y las interacciones sociales en la radicalización. Su trabajo es apoyado por la National Science Foundation (NSF) y la Army Research Office de los Estados Unidos.
Es también conocida por su trabajo como ambientalista dedicada a diversas causas a favor de la protección del medio ambiente.
Biography:
Has a Ph.D. in Physics from the University of California, Los Angeles UCLA in 2003. Currently she is the associate director of the Institute for Pure and Applied Math and professor in the biomathematics department at UCLA. She is also professor at the Institute for Sustainability and the mathematics department at California State University Northridge.
D’Orsogna studies a wide range of topics within biology and sociology, such as the mathematical modeling of neuroendocrine dynamics, inmigration, various processes of viral infection, crime hot-spot formation, and the social interactions in radicalization. Her work is supported by the National Science Foundation (NSF) and by the U.S. Army Research Office.
She is also known for her work as an environmentalist dedicated to various causes in favor of protecting natural areas.
Mistry, B., D’Orsogna, M. & Chou, T. (2018). The effects of statistical multiplicity of infection on virus quantification and infectivity assays. Biophysical Journal, 114, 2974-2985
Short, MB., McCalla, SG. & D’Orsogna, MR. (2017) Modeling radicalization: how small violent fringe sects develop into large indoctrinated societies. Royal Soc Open Sci 4 170678
D’Orsogna, MR. & Perc, M. (2015) Statistical physics of crime: A review Phys Life Rev 12 1-21
Biografía:
Físico y maestro en Física Experimental por la Universität Bonn, Alemania. Su doctorado lo realizó también en Alemania en la Technische Universität Dresden trabajando con sistemas cuánticos abiertos usando modelos provenientes de la física nuclear.
Realizó estancias posdoctorales en el Max Planck Institute for the Physics of Complex Systems y el Instituto de Ciencias Físicas de la UNAM. Actualmente es profesor investigador de tiempo completo en el Centro de Investigación en Ciencias de la Universidad Autónoma del Estado de Morelos en México.
Entre sus líneas de investigación se encuentran el desarrollo de nuevas técnicas de análisis multivariantes, el estudio de la dinámica cerebral durante ataques epilépticos focales, el estudio de la dinámica de la red funcional durante el ciclo de sueño y la interrelación entre el ciclo de sueño y epilepsia. También estudia los procesos de cognición y el papel de la corteza auditiva para actividades motoras y cognitivas.
Biography:
Has a bachelor’s degree in physics and a master’s degree in experimental physics from the Universität Bonn, Germany. His Ph.D. is from the Technische Universität Dresden where he worked with open quantum systems using models from nuclear physics.
He held postdoctoral positions at the Max Planck Institute for the Physics of Complex Systems and the Instituto de Ciencias Físicas, UNAM in Mexico. Currently he is a full-time research professor at the Centro de Investigación en Ciencias, Universidad Autónoma del Estado de Morelos, México.
Among his lines of research are the development of new multivariate analysis techniques, the study of brain dynamics during focal epileptic seizures, the study of the dynamics of the functional network during the sleep cycle and the interrelation between the sleep cycle and epilepsy. He is also interested in studying the processes of cognition and the role of the auditory cortex for motor and cognitive activities.
Paola V. Olguín-Rodríguez, J. Daniel Arzate-Mena, Maria Corsi-;Cabrera, Heidemarie Gast, Arlex Marín-García, Johannes Mathis, Julieta;Ramos Loyo, Irma Yolanda del Rio-Portilla, Christian Rummel, Kaspar;Schindler, and Markus Müller (2018) Characteristic Fluctuations Around Stable Attractor Dynamics Extracted from Highly Non-stationary Electroencephalographic Recordings. Brain Connectivity 8: 457-474.
https://www.liebertpub.com/doi/10.1089/brain.2018.0609
Rios Herrera, W. A., Escalona, J., Rivera López, D., & Müller, M. F. (2017) On the estimation of phase synchronization, spurious synchronization and filtering. Chaos: An Interdisciplinary Journal of Nonlinear Science 26(12): 123106.
https://aip.scitation.org/doi/10.1063/1.4970522
Ramírez-Álvarez, E., Montoya, F., Buhse, T., Rios-Herrera, W., Torres-Guzmán, J., Rivera, M., Martínez-Mekler, G., & Müller, M. F. (2016) On the dynamics of Liesegang-type pattern formation in a gaseous system. Scientific reports 6: 23402.
https://www.nature.com/articles/srep23402
Biografía:
Matemático por la Facultad de Ciencias de la UNAM y doctor en matemáticas por el Imperial College of London. En 2012 recibió el Lee Segel Prize al mejor artículo, que otorga la Society for Mathematical Biology, por su investigación doctoral en la que se aplica la teoría de control óptimo al estudio de respuestas bacterianas a antibióticos.
Ha realizado estancias posdoctorales en la University of Exeter y la University of Oxford participando en proyectos de modelación matemática y microbiología experimental. En 2015 The Royal Society le otorgó el Newton Advanced Fellowship por su investigación sobre la evolución de la resistencia a los antibióticos.
Actualmente es investigador en el Laboratorio de Biología de Sistemas y Biología Sintética del Centro de Ciencias Genómicas de la UNAM. Sus investigaciones se enfocan en los mecanismos genéticos y metabólicos que dan lugar a estrategias colectivas en poblaciones de bacterias que les permiten sobrevivir y prosperar en ambientes altamente dinámicos y desfavorables.
Biography:
Has a bachelor degree in mathematics from the Facultad de Ciencias, UNAM and a PhD in mathematics by the Imperial College of London. In 2012 he received the Lee Segel Prize for the best article, awarded by the Society for Mathematical Biology, for his doctoral research in which the theory of optimal control is applied to the study of bacterial responses to antibiotics.
As postdoctoral researcher at the University of Exeter and the University of Oxford he participated in projects of mathematical modeling and experimental microbiology. In 2015 the Royal Society awarded him the Newton Advanced Fellowship for his research on the evolution of antibiotic resistance.
He is currently a researcher at the Systems Biology and Synthetic Biology Laboratory at the Centro de Ciencias Genómicas, UNAM. His research focuses on the genetic and metabolic mechanisms that give rise to collective strategies in bacterial populations that allow them to survive and thrive in highly dynamic and unfavorable environments.
Rodriguez-Beltran, J., Hernandez-Beltran, J. C. R., DelaFuente, J., Escudero, J. A., Fuentes-Hernandez, A., MacLean, R. C., Peña-Miller R. & San Millan, A. (2018) Multicopy plasmids allow bacteria to escape from fitness trade-offs during evolutionary innovation. Nature Ecology & Evolution 2(5): 873-881.
https://www.nature.com/articles/s41559-018-0529-z
Beardmore, R.E., Peña-Miller, R., Gori, F & Iredell, J. (2017) Antibiotic Cycling and Antibiotic Mixing: Which One Best Mitigates Antibiotic Resistance? Molecular Biology and Evolution 34(4): 802–817, 1 April.
https://www.ncbi.nlm.nih.gov/pubmed/28096304
Peña-Miller, R., Rodríguez-González, R., MacLean, R. C., & San Millan, A. (2015) Evaluating the effect of horizontal transmission on the stability of plasmids under different selection regimes. Mobile genetic elements 5(3): 29-33.
https://www.tandfonline.com/doi/abs/10.1080/2159256X.2015.1045115
Biografía:
Tras obtener su doctorado en la Facultad de Medicina de la Universiteit van Amsterdam, Países Bajo, Buijs fue nombrado científico investigador en el Netherlands Institute for Brain Research en Ámsterdam. En 1990 se convirtió en científico principal y profesor en el Loeb Research Institute en Ottawa, Canadá y en 1993 regresó al Netherlands Institute for Brain Research para convertirse en director asociado del Instituto y líder del grupo "mecanismos de integración hipotalámica". También fue nombrado profesor de neurobiología en la University of Amsterdam.
Desde 2006 es investigador de tiempo completo en el Instituto de Investigaciones Biomédicas de la UNAM, en la ciudad de México. Su principal área de investigación es la integración de mecanismos hipotalámicos. Actualmente, su trabajo se centra en los sistemas hipotalámicos que controlan el metabolismo, la circulación y el sistema inmune con un interés especial en lo referente a la interacción funcional de cada uno. Por ejemplo: el funcionamiento de estos sistemas es influenciado fuertemente por factores ambientales, tales como la hora del día, la estación, el estrés y la retroalimentación sensorial, hormonal o autonómica.
Biography:
After obtaining his Ph.D. from the School of Medicine at the Universiteit van Amsterdam, in the Netherlands, Buijs was appointed as research scientist at the Netherlands Institute for Brain Research in Amsterdam. In 1990 he became senior scientist and professor at the Loeb Research Institute in Ottawa, Canada and in 1993 he returned to the Netherlands Institute for Brain Research, to become associate director of the institute and leader of the group “Hypothalamic Integration Mechanisms”. He was also appointed as professor of neurobiology at the University of Amsterdam.
Since 2006 he is a full-time researcher at the Instituto de Investigaciones Biomédicas, UNAM in Mexico City. His main area of research is on hypothalamic integration mechanisms, currently focusing on the hypothalamic systems that control metabolism, circulation and the immune system particularly to study them in relation to the functional interaction of each one. For example: their functioning is strongly influenced by environmental factors, such as time of day, season, stress and sensory, hormonal or autonomic feedback.
Báez-Ruiz, A., Guerrero-Vargas, N. N., Cázarez-Márquez, F., Sabath, E., del Carmen Basualdo, M., Salgado-Delgado, R., Escobar, C., & Buijs, R. M. (2017) Food in synchrony with melatonin and corticosterone relieves constant light disturbed metabolism. Journal of Endocrinology 235(3): 167-178.
https://www.ncbi.nlm.nih.gov/pubmed/28851750
Buijs, R. M., & Guerrero‐Vargas, N. (2017) Synchrony between suprachiasmatic nucleus‐driven signals and the light/dark cycle is essential for liver homeostasis. Hepatology 65(6): 2110-2112.
https://www.ncbi.nlm.nih.gov/pubmed/28198033
Espitia-Bautista, E., Velasco-Ramos, M., Osnaya-Ramírez, I., Ángeles-Castellanos, M., Buijs, R. M., & Escobar, C. (2017). Social jet-lag potentiates obesity and metabolic syndrome when combined with cafeteria diet in rats. Metabolism 72: 83-93.
https://www.ncbi.nlm.nih.gov/pubmed/28641787
Biografía:
Es doctor en biofísica-física por el Institut Marie Curie en París y maestro y licenciado en física por la Paris VI University. Actualmente, es profesor de biología molecular y celular y profesor Gordon McKay de física aplicada en la Facultad de Artes y Ciencias de la Harvard University en Estados Unidos.
Cluzel fue pionero en la macro-manipulación de moléculas individuales de ADN estudiando la quimiotaxis de bacterias de E. coli como modelo para el estudio de otras señales celulares. También ha desarrollado técnicas novedosas para rastrear moléculas individuales, lo que permite rastrear la actividad de las células vivas individuales en tiempo real.
Su investigación se centra en estudiar el comportamiento y las estructura de células y organismos aplicando los principios de la física y la ingeniería a los sistemas biológicos. También estudia sistemas de análisis en tiempo real de la transducción de señales y redes genéticas a nivel de una sola célula.
Biography:
He received a Ph.D. in biophysics-physics from the Institut Marie Curie in Paris and a master’s and undergraduate degrees in physics from Paris VI University. Currently, he is Professor of Molecular and Cellular Biology and Gordon McKay Professor of Applied Physics at Harvard University's Faculty of Arts and Sciences.
Cluzel pioneered the macro-manipulation of individual molecules of DNA and examined the system governing migration of E. coli bacteria towards chemical attractants—a process known as chemotaxis—as a model for the study of other cellular signaling. Cluzel has also developed novel techniques to track single molecules, eavesdropping on the activity of individual living cells in real time.
He studies the behavior and bodily structure of cells and organisms by applying the principles of physics and engineering to biological systems. Also, his research on his laboratory focuses on real-time systems analysis of signal transduction and genetic networks at the single cell level.
Balleza, E., Kim, J. M., & Cluzel, P. (2018) Systematic characterization of maturation time of fluorescent proteins in living cells. Nat Methods 15(1): 47.
https://www.nature.com/articles/nmeth.4509
Remy, G., & Cluzel, P. (2016) Near-criticality underlies the behavior of early tumor growth. Physical Biology 13(2), 026005.
https://www.ncbi.nlm.nih.gov/pubmed/27043180
Motta, S. S., Cluzel, P., & Aldana, M. (2015) Adaptive resistance in bacteria requires epigenetic inheritance, genetic noise, and cost of efflux pumps. PloS One 10(3), e0118464.
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118464
Biografía:
Tiene una licenciatura en ciencias por la Orissa University of Agriculture and Technology, India y un doctorado por el The Scripps Research Institute, La Jolla, California. Trabajó como investigador postdoctoral en el Genomics Institute of the Novartis Research Foundation en San Diego, California. Actualmente, es profesor en el Laboratorio de Biología Regulatoria del Salk Institute for Biological Studies, en La Jolla, California.
Su investigación se centra en comprender cómo los ciclos circadianos regulan el comportamiento, la fisiología y el metabolismo, especialmente en cómo esta regulación afecta las funciones del hígado, el sistema inmunológico, el sueño, el hambre y algunas enfermedades como la diabetes.
Su descubrimiento de cómo un sensor de luz azul en los ojos afecta el ciclo de sueño-vigilia, la depresión y el estado de alerta está revolucionando el uso de la luz como opción terapéutica para mejorar la salud. Recientemente, descubrió que mantener un ciclo diario de alimentación-ayuno, conocido popularmente como alimentación restringida por el tiempo (TRE) o ayuno intermitente, puede prevenir y revertir muchas enfermedades crónicas. También es autor del libro “The Circadian Code”
Biography:
Has a bachelor’s degree in science from the Orissa University of Agriculture and Technology, India and a Ph.D. from The Scripps Research Institute, La Jolla, California. He worked as postdoctoral researcher at the Genomics Institute of the Novartis Research Foundation in San Diego, California. Currently, he is professor at the Regulatory Biology Laboratory, Salk Institute for Biological Studies, La Jolla, California.
His research focuses on how circadian clocks regulate behavior, physiology and metabolism specially focused on how this regulation affects liver functions, the immune system, sleep behavior, hunger and some diseases such as diabetes.
His discovery of how a blue light sensor in the eyes affects sleep-wake cycle, depression and alertness is leading a new revolution in managing light to improve health. Recently he discovered that maintaining a daily feeding-fasting cycle – popularly known as Time-restricted eating (TRE) or intermittent fasting– can prevent and reverse many chronic diseases. He is also author of the book “The Circadian Code”.
Chaix, A., Lin, T., Le, H. D., Chang, M. W., & Panda, S. (2018) Time-restricted feeding prevents obesity and metabolic syndrome in mice lacking a circadian clock. Cell Metabolism. Advance online publication
doi.org/10.1016/j.cmet.2018.08.004
Zarrinpar, A., Chaix, A., Xu, Z. Z., Chang, M. W., Marotz, C. A., Saghatelian, A., Knight, R. & Panda, S. (2018) Antibiotic-induced microbiome depletion alters metabolic homeostasis by affecting gut signaling and colonic metabolism. Nature Communications 9(1): 2872.
https://www.nature.com/articles/s41467-018-05336-9
Sulli, G., Manoogian, E. N., Taub, P. R., & Panda, S. (2018) Training the Circadian Clock, Clocking the Drugs, and Drugging the Clock to Prevent, Manage, and Treat Chronic Diseases. Trends in Pharmacological Sciences 39(9): 812-827.
https://www.ncbi.nlm.nih.gov/pubmed/30060890
Biografía:
Estudió física en la Facultad de Ciencias Físico Matemáticas de la Benemérita Universidad Autónoma de Puebla y una maestría en Ciencias (Física) en el Instituto de Ciencias Físicas de la UNAM en Cuernavaca, Morelos. Actualmente realiza su doctorado en la misma institución y asociado al Centro de Ciencias de la Complejidad (C3).
Ha estudiado las redes de regulación genética a través de modelos matemáticos. En su tesis de maestría analizó la evolución de la estructura y dinámica de redes de regulación genética. Con su proyecto de investigación doctoral busca comprender el papel del microbioma en la evolución. Particularmente analizan si el microbioma puede ayudar a explicar el problema de la heredabilidad perdida.
Biography:
Has a bachelor’s degree in physics from the Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Mexico and a master’s degree in sciences (physics) from the Instituto de Ciencias Físicas UNAM, Morelos, Mexico. He is now currently pursuing his Ph.D. in the same institution and at the Centro de Ciencias de la Complejidad (C3).
He has studied the networks of genetic regulation through mathematical models. In his master's thesis he analyzed the evolution of the structure and dynamics of genetic regulatory networks. With his doctoral research project he seeks to understand the role of the microbiome in evolution. He is particularly interested in studying whether the microbiome can solve the missing heritability problem.
Juárez, S. H. (2015) Evolución de la estructura y dinámica de redes de regulación genética. (Master’s thesis). Universidad Nacional Autónoma de México, Cuernavaca, MEX.
https://www.nature.com/articles/nmeth.4509
Juárez, S. H., Frank, A. & Aldana, M. (2018) Modelling the role of the microbiome evolution. (sent for publication)
Biografía:
Médico de formación es profesor emérito de bioquímica por la University of Pennsylvania, miembro y profesor externo del Santa Fe Institute, académico afiliado al Institute for Systems Biology y director fundador del Institute of Bio-Complexity and Informatics (IBI). Es considerado pionero y fundador de la investigación en la complejidad biológica.
Su visión para integrar el trabajo teórico con el experimental le permitió realizar importantes contribuciones a la teoría de la evolución. Es también pionero en el análisis de redes de regulación genética demostrando que el comportamiento de las redes genéticas depende de forma crucial del nivel al cual los genes están interconectados.
Entre sus líneas de investigación se encuentran la biocomplejidad; redes de regulación genética; biología del desarrollo; expresión genética; estudio de células troncales; cáncer; evolución; evolución molecular. Es también autor de un libro para niños y dos obras de teatro.
Biography:
Physician and theoretical biologist he is emeritus professor of biochemistry at the University of Pennsylvania, member and external professor of the Santa Fe Institute, affiliated faculty of the Institute for Systems Biology and founding director of the Institute for Biocomplexity and Informatics (IBI). He is considered pioneer and founding father of biocomplexity research.
His vision to integrate theoretical and experimental work allowed him to make important contributions to the theory of evolution. He is also a pioneer in the analysis of gene regulatory networks demonstrating that the genetic networks behaviour depends crucially on the level at which genes are interconnected.
Among his subjects of research are biocomplexity; gene regulatory networks; developmental biology; gene expression; stem cell study; cancer biology; evolution; molecular evolution. He is also the author of a book for children and two plays.
Zhou, JX., Isik, Z., Xiao, C., Rubin, I., Kauffman S.A., Schroeder, M., Huang, S. (2016). Systematic drug perturbations on cancer cells reveal diverse exit paths from proliferative state. Oncotarget. 7: 7415-7425.
Huang, S., Kauffman, S.A. (2012). Complex gene regulatory networks - From structure to biological observables: Cell fate determination.Computational Complexity: Theory, Techniques, and Applications. 527-560.
Kauffman, S.A. (1993). The origins of order: Self-organization and selection in evolution. Oxford University Press: New York.
| LUNES 26 | |||
| Hora | Investigador | Institución | Título de conferencia |
| 9:30-10:30 | Stuart Alan Kauffman | Institute for Systems Biology, Seattle, Washington, EUA. |
Ensembles, Dynamics and Cell Types. |
| 10:30-11:30 | María Corsi Cabrera | Facultad de Psicología, UNAM, CDMX, MEX. | The Other Brain: The Sleeping Brain. |
| 11:30-12:00 | Coffee | ||
| 12:00-13:00 | Markus Müller | Centro de Investigación en Ciencias, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, MEX. |
How to Orchestrate a Soccer Team: Generalized Synchronization Promoted by Rhythmic Acoustic Stimuli. |
| 13:00-15:00 | Lunch | ||
| 15:00-16:00 | Ilya Shmulevich | Institute for Systems Biology, Seattle, Washington, EUA. |
Emergence of Diversification in Biological Systems. |
| 16:00-17:00 | Saúl Huitzil Juárez | Instituto de Ciencias Físicas, UNAM, Cuernavaca, Morelos y C3, UNAM, CDMX, MEX. |
Modelling the Role of the Microbiome in Evolution. |
| 17:00-17:30 | Coffee | ||
| 17:30-18:30 | Denis Boyer | Instituto de Física, UNAM, CDMX, MEX. |
Anomalous Dispersion and Stability in Fragile Ecosystems. |
| MARTES 27 | |||
| Hora | Investigador | Institución | Título de conferencia |
|---|---|---|---|
| 9:30-10:30 | François Leyvraz | Instituto de Ciencias Físicas, UNAM, Cuernavaca, Morelos, MEX. |
Correlation Matrices in the Analysis of Financial Time Series. |
| 10:30-11:30 | Hernán Larralde | Instituto de Ciencias Físicas, UNAM, Cuernavaca, Morelos, MEX. |
On the Statistics of Texts. |
| 11:30-12:00 | Coffee | ||
| 12:00-13:00 | Maria Rita D'Orsogna | California State University, Northridge, California, EUA. |
Mathematical Models of Criminal Behavior. |
| 13:00-15:00 | Lunch | ||
| 15:00-16:00 | Juan Claudio Toledo | Instituto de Ciencias Nucleares y C3, UNAM, CDMX, MEX. |
Global Temperature Fluctuations and Loss of Self-Regulation in Earth's Climate. |
| 16:00-17:00 | Rafael Peña Miller | Centro de Ciencias Genómicas, UNAM, Cuernavaca, Morelos, MEX. |
Multicopy Plasmids and the Complexity of the Genotype-Phenotype Relationship. |
| 17:00-17:30 | Coffee | ||
| 17:30-19:00 | Posters & Cocktail. Sculpture exhibition of Maribel Portela | ||
| MIÉRCOLES 28 | |||
| Hora | Investigador | Institución | Título de conferencia |
| 9:30-10:30 | Philippe Cluzel | Harvard University, Cambridge, Massachusetts, EUA. |
Using Pulses for Learning New Behaviors, Lessons from the Bacterial Flagellum. |
| 10:30-11:30 | Christopher R. Stephens | Instituto de Ciencias Nucleares y C3, UNAM, CDMX, MEX. |
The human conductome: a new paradigm for understanding obesity |
| 11:30-12:00 | Coffee | ||
| 12:00-13:00 | Felipe Vadillo Ortega | Facultad de Medicina, UNAM, CDMX, MEX. |
Vaginal Microbiome Longitudinal Modifications During Normal Pregnancy and in Preterm Labor. |
| 13:00-15:00 | Lunch | ||
| 15:00-16:00 | Rudolf M. Buijs | Instituto de Investigaciones Biomédicas, UNAM, CDMX, MEX. |
The Circadian System and its Importance for Health. |
| 16:00-17:00 | Satchidananda Panda | Salk Institute for Biological Studies,La Jolla, California, EUA. |
Training the Circadian Clock, Clocking the Drugs and Drugging the Clocks to Prevent and Manage Chronic Diseases. |
| 17:00-17:30 | Coffee | ||
| 17:30-18:30 | Kristefan Minski | Ars Electronica Australia, Australia | Das Andere Ich: Art and Robotics, an Ars Electronica Retrospective: 1979 - 2018 |
Stuart Alan Kauffman
Institute for Systems Biology, Seattle, Washington, EUA.
Across many phyla, the number of cell types scales as power of the DNA per cell, thence the genes per cell. Why? By now it is widely recognized that cell types correspond to alternative attractors of the genetic regulatory network among the 23,000 protein coding genes and perhaps as many coding for RNA sequences. These genes turn one another “on and off” in some complex dynamical system. But to explain the relation between DNA (genes) per cell and cell types per cell we need a theory that relates genes per cell to the number of attractor cell types.
Random Boolean networks are a simple model class for genetic regulatory networks. Here N binary variables, each receiving inputs from K among the N, and governed by a Boolean function on the values of their inputs at each moment, constitute such networks. Given N and K, there is an enormous ensemble of networks with those values of N and K. The work reported here studies the statistically generic properties of such networks, work that started 50 years ago.
Boolean networks can be ordered, critical or chaotic. Recent stunning evidence suggests that real genetic regulatory networks are critical. The generic properties of critical networks include many features to be discussed. In particular, the number of attractors, i.e. model cell types, scales as a power law with the number of genes. We propose that the observed scaling law for real cell types reflects the generic properties of critical genetic networks.
María Corsi Cabrera
Facultad de Psicología, UNAM, CDMX, MEX.
Sleep is not only defined by changes in frequency and amplitude of oscillatory EEG activity but by a constellation of changing patterns of brain electrical activity, including frequency, cortical topography and complex rearrangement of functional cortico-cortical interactions in the frequency domain, and by hemodynamic changes and specific neurochemical cocktails, that provide a special internal milieu resulting in a different brain that of wakefulness.
In particular, synchronization of simultaneous EEG oscillations or coherent activity during sleep has become relevant in light of the importance of coherent activity as a binding mechanism for processing information in waking states and consciousness. Changing levels of cortico-cortical functional coupling distinguish between wakefulness and sleep stages. Robust results on stable increased inter-hemispheric functional coupling in the frequency domain, decreased intra-hemispheric functional coupling in various temporal windows, dissociation between frontal lobes, where thoughts are generated, and posterior cortical regions, where images are perceived.
On the other hand, REM sleep is spattered by phasic events consistent of transient activations in central nervous, skeletal and autonomic systems, which occur over a tonic background of brain activation introducing a reorganization of ongoing EEG activity and functional relationships among brain sectors. The complex dialogue and interplay between brain regions, as well as consequences of sleep deprivation are reviewed.
Markus Müller
Centro de Investigación en Ciencias, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, MEX.
Teamwork requires precise interpersonal coordination on a common time frame, often times with scarce or even without any verbal communication. Prominent examples of such generalized synchronization are orchestras or team sports. However, musicians benefit continuously from the score, the acoustic feedback of the whole ensemble and the external driving of the conductor, while the coupling between teammates is reduced by a limited visual sector and a restricted acoustic radius such that joint action emerges in a self organized manner.
Here we show, by using soccer teams as a testing ground, that acoustic stimuli may improve significantly the interplay between teammates. We provide quantitative evidence that the collectivity as well as scoring rate of male soccer teams improves significantly when playing under the influence of an appropriate acoustic environment.
Unexpectedly, female teams do not show any improvement under the same experimental conditions. This effect is not due to motor entrainment, as we could show by follow up experiments. Instead we provide experimental evidence that the rhythmic acoustic stimuli modulate the attention level of the protagonists, such that the improved performance of male teams as well as the marked gender difference can be explained by a (nonlinear) resonance effect.
Ilya Shmulevich
Institute for Systems Biology, Seattle, Washington, EUA.
The origin of multicellularity in metazoa is one of the fundamental questions of evolutionary biology. We have modeled the generic behaviors of gene regulatory networks in isogenic cells as stochastic nonlinear dynamical systems—coupled Boolean networks with perturbation arranged on a 2D grid, where cells communicate with their neighbors.
We also modeled such cells communicating via diffusion in a 3D off-lattice agent-based framework. Model simulations under a variety of dynamical regimes suggest that the central characteristic of multicellularity, permanent spatial differentiation, or diversification, can arise due to intercellular communication.
We also observe that such diversification is far more likely to occur near the critical regime of Lyapunov stability, supporting the long-held view, demonstrated by numerous studies in diverse disciplines, that systems operating at criticality exhibit many optimal properties.
Saúl Huitzil Juárez
Instituto de Ciencias Físicas, UNAM, Cuernavaca, Morelos y C3, UNAM, CDMX, MEX.
Multicellular organisms host a great variety of microbes. Most microbes are not pathogenic and some even perform essential functions for the survival of their host (such as absorption of nutrients, defense against pathogens, or training of the immune system, among others). It is known that many microbes cannot survive outside of their host, so their fate is linked to the success of their host to adapt and reproduce.
This has motivated theories in which the holobiont (the system consisting of the host and its microbes) is considered as a unit of selection in evolution. However, the role that microorganisms play in the adaptation process of their host is still under debate. This has generated the need for models that explain the role of microorganisms in evolution.
In this talk I will present a mathematical model based on genetic regulatory networks that explores the consequences of the “hologenome hypothesis,” namely, of considering the holobiont as a unit of selection. Our model shows how symbiotic relationships between multicellular organisms and microbes arise. It also shows the need for specialization of the microbiota and the emergence of complexity in both the dynamics and the structure of the holobiont.
Denis Boyer
Instituto de Física, UNAM, CDMX, MEX.
Thanks to recent advances in tracking devices, it is now possible to carry out high-precision studies on the individual mobility of numerous animals in their habitats. Many data indicate that animal trajectories in the wild do not follow standard dispersion patterns given by normal diffusion, the most widely used model in spatial ecology. Instead, observations show displacements characterized by multiple length-scales.
Such a "scale-free" diffusion, which was observed long ago in physical systems, is considered as anomalous. In biology, anomalous diffusions have been mainly interpreted in the last two decades as optimal foraging strategies in environments that are unpredictable and scarce in resources. However, the impact of individual mobility on the stability of large populations in the long run has been little analyzed.
Here we study stochastic and deterministic Lotka-Volterra models in fragmented environments, where mobile predators feed on prey that aggregate in patches. In fragile ecosystems, that is, the ones less prone to species coexistence, the scale-free motion of the individuals can prevent extinctions at the population level. Such predator populations can also reach maximal abundances and be resilient in front of degraded environmental conditions. Scale-free diffusion entails a trade-off between exploitation and regeneration, and could represent an important mechanism by which entire populations adapt to scarcity in fragmented environments.
François Leyvraz
Instituto de Ciencias Físicas, UNAM, Cuernavaca, Morelos, MEX.
The analysis of financial time series—stock and index prices as well as returns—has been an object of considerable study. Two opposing points of view exist concerning the possibility of efficiently casting financial time series: some claim to be able to discern properties in the series which permit prediction, others argue for a purely random nature of such time series (the so-called random walk hypothesis).
A different approach consists in looking at the correlation between a large number of different stocks. As it turns out, such correlations exist and characterizing them could shed light on the nature of the underlying dynamics. Such an approach need not contradict the random walk hypothesis, but rather intends to describe in ore precise terms the actual behavior of the market. We shall review, with no claim to completeness some of the recent attempts in this direction.
Hernán Larralde
Instituto de Ciencias Físicas, UNAM, Cuernavaca, Morelos, CDMX.
Languages have proven to have rather surprising statistical regularities. Amongst these, perhaps the most famous one is Zipf's law, that states that the frequency of a word in a large corpus is proportional to a power of it's rank, which appears to hold for all known languages. Other universal laws are Heap's law, which relates the number of different words in a text with the length of the text; and the degree distribution of the adjacency network, which is again a power law.
On a different perspective, hand in hand with these universal properties, different texts frequently “say” different things. And, what is maybe even more surprising, sometimes different texts say the “same thing”. This, of course, is what happens with translations, and, somewhat analogously, with cryptograms.
In this talk I will describe our work related to simple mechanisms that give rise to the universal laws of languages, as well as our attempts to identify the signatures of a “text” regardless of the language it is written in.
Maria D’Orsogna
California State University, Northridge, California, EUA.
Applying mathematical tools to criminology is a relatively new but promising and exciting avenue of research. In this talk we present several models that are meant to mathematically frame and analyze basic sociological findings such as the broken windows effect and repeat victimization theories.
We discuss agent based and PDE models to study burglary and the spread of opportunistic crime, game theories to investigate the role of informants within a violent society, stochastic simulations to model recidivism and rehabilitation efforts.
Where available we have used actual criminological data to guide our modeling efforts. Some of our results are confirmed by experimental realizations conducted on actual human subjects in a behavioral laboratory.
Juan Claudio Toledo
Instituto de Ciencias Nucleares y C3, UNAM, CDMX, MEX.
The study and forecast of tipping points has been a central topic in the fundamental issue of climate change, as these shifts threaten to dramatically modify the Earth's physical and biological domains, with catastrophic impact on human life.
In physics, the study of complex dynamical systems has revealed ways to identify critical transitions from the analysis of a system's time series. In this work we analyze the fluctuations in global climatic data of the twentieth century in search for these signals. We identify characteristic signs that strongly suggest the proximity of a tipping point transition and, furthermore, show that a shift in the global climate dynamics has occurred during the past century.
We compare these results to lessons learned from Lovelock's Daisyworld, a classical model of self-regulation, and find that the climatic system has manifestly lost self-regulatory capacity, in line with the emergence of weather extremes in recent years.
Rafael Peña-Miller
Centro de Ciencias Genómicas, UNAM, Cuernavaca, Morelos, MEX.
Plasmids are extra-chromosomal and self-replicating DNA molecules that can drive bacterial adaptation by enabling horizontal transmission of beneficial genes between bacterial hosts. Recent studies have shown, however, that plasmids can be more than simple vehicles for genetic interchange, as they can also accelerate the rate of adaptation and alleviate evolutionary trade-offs by producing heterozygous cells where ancestral and mutant alleles transiently co-exist.
In this talk, we will focus on the consequences of noise at the genetic level produced by a complex and stochastic multicopy plasmid dynamics, and evaluate the conditions whereby it is evolutionary optimal for a bacterial population to present single-cell genetic variability. In particular, we will focus on a well-characterized experimental system of drug resistance evolution: plasmid-mediated TEM-1 evolution towards Ceftazidime resistance in Escherichia coli.
Using a combination of mathematical modeling with single-cell microfluidics, we will show that, although the replication and segregation dynamics of multicopy plasmids are inherently noisy processes, the cell’s phenotype is robust to gene copy number variability. Finally, we will argue that phenotypic stability is correlated with gene copy number and that genetic variability in individual cells maximizes the probability of survival of the bacterial population to hostile and unpredictable environmental conditions, such as those produced by antimicrobial treatment.
Phillipe Cluzel
Harvard University, Cambridge, Massachusetts, EUA.
Synthesis and assembly of the bacterial flagellum in E. coli requires the coordinated transcription of over 40 different genes in 14 different operons. By combining quantitative time-lapse microscopy with a microfluidic device that allows for individual lineage-tracking we discovered that the dynamics of flagellar transcription exhibits slow stochastic pulses within a single cell, alternating between ‘on’ and ‘off’ periods that span over several generations.
We found that the frequency of these pulses could be modulated by changing the environments quality: richer media yield higher frequency of pulses. Interestingly, one flagellar gene is an alternative sigma factor, sigma 28 that controls a large number of non-flagellar genes. That the quality of different environments is encoded in the frequency of pulses led us to reason that the activity of downstream genes could be deferentially activated in response to distinct frequencies of the upstream pulsating sigma factor.
To test in the more general context this hypothesis, we used Boolean threshold networks and investigated how oscillating the activity of highest connected node can select for a range of different network behaviors. Moreover, we observed that when we drove the activity of the highly connected node with different frequencies, the network was capable to selectively learn distinct behaviors. Such a frequency-addressable learning may be a general strategy for large networks to quickly develop new behaviors without relying on major network architecture reconfiguration.
Christopher R. Stephens
Instituto de Ciencias Nucleares y C3, UNAM, CDMX, MEX.
In spite of a huge amount of investment, both in intellectual and financial capital, the global obesity epidemic continues, with a concomitant rise in the incidence of chronic disease. Public health initiatives have had little to no success in reverting these tendencies at the required scale. Conclusion: something fundamental is missing in our understanding of cause and effect.
With the assumption that obesity is fundamentally a disease caused by particular behaviors I will discuss the notion of the “conductome”: the complete set of factors that influence human behavior. Unlike other “omes”, the conductome is not restricted to the micro, but must contemplate a wide spectrum of scales, from the molecular/genetic through the physiological and the environmental, with an emphasis on how all these factors influence behavior. In the context of obesity, we may focus on how behavior affects energy balance and metabolism, principally through overeating, malnutrition and sedentariness.
Although the conductome is enormously multifactorial I will argue that the Data Revolution and associated recent technological developments now permit us to begin to construct it. As proof-of-concept I will present a data set and associated analyses to suggest that an iterative construction of the conductome is feasible, indicating the principal opportunities and challenges. I will also emphasize that although data is a necessary condition for constructing the conductome, it is not sufficient, but requires new conceptual and methodological frameworks for the analysis of these data. In particular, I will argue that “modern” modeling techniques, such as machine learning and agent-based modeling, are fundamental and that traditional reductionist, disciplinary approaches to science are inadequate.
Felipe Vadillo
Facultad de Medicina, UNAM, CDMX, MEX.
Initial studies of the vaginal microbiome in non-pregnant and pregnant women have shown compositional dynamics without a comprehensive functional understanding of those changes. We do not know how these modifications are associated to higher risk for development of pregnancy complications, such as preterm birth.
We conducted a longitudinal follow up of 25 Mexican women delivering at term without complications and 15 women delivering preterm. Five to seven cervicovaginal swabs at different gestational ages from each participant were analyzed for microbiome, using next generation sequencing of V3 and V4 regions of 16s rRNA.
Microbiota community taxonomic composition and diversity remained stable during normal pregnancy, with Lactobacillus species as dominant microorganisms. In contrast, diversity was increased and richness was decreased during pregnancies ending in preterm labor. In order to increase insight of the functional meanings of these changes in microbial communities, we measured 19 inflammatory cytokines in the same samples used for microbiome characterization. Changes in diversity and richness were associated to pro-inflammatory response, which may be related with preterm induction of labor and exposition of the fetus to adverse intrauterine conditions. These finding have important implications for preterm labor physiopathology, a major worldwide health problem.
Rudolf M. Buijs
Instituto de Investigaciones Biomédicas, UNAM, CDMX, MEX.
Circadian rhythms are generated by the autonomous circadian clock, the suprachiasmatic nucleus (SCN). The SCN prepares the physiology of the body every 24hour via hormones and the autonomic nervous system (ANS), to the coming changes in behavior. Hereto the SCN drives rhythms in peripheral organs, which is important for maintaining a circadian regulated physiology.
Violations of conditions set by our biological clock, such as shift work, jet lag, sleep deprivation or simply eating at the wrong time of the day, may have deleterious effects on health. This infringement, also known as circadian desynchronization, is associated with chronic diseases like diabetes, hypertension, cancer and psychiatric disorders.
We will evaluate evidence that these diseases stem from the need of the SCN for peripheral feedback, to fine-tune its output and adjust physiological processes to the requirements of the moment. This feedback can vary from neuronal or hormonal signals from the liver to changes in blood pressure. Desynchronization renders the circadian network dysfunctional, resulting in a breakdown of many functions driven by the SCN disorganizing cellular processes that are normally driven by the synchrony between behavior and peripheral signals with neuronal and humoral output of the hypothalamus.
Consequently we propose that the loss of synchrony between the different elements of this circadian network as may occur during eating at the wrong time, shift work and jet lag is the reason for the occurrence of health problems.
Satchidananda Panda
Salk Institute for Biological Studies, La Jolla, California, EUA.
Daily rhythms in behavior, physiology, and metabolism are integral part of homeostasis. These rhythms emerge from interactions among endogenous circadian clocks, ambient light-dark-, sleep-activity- and eating-fasting cycles. Nearly the entire primate genome shows daily rhythms in expression in a tissue- and locus- specific manner. These molecular rhythms modulate several key aspects of cellular and tissue function with profound implications in public health, disease prevention and disease management.
In modern societies light at night disrupts circadian rhythm and enables that leads to further disruption of sleep and eating-fasting cycle. While acute circadian disruption may cause transient discomfort or flareup of chronic diseases, chronic circadian disruption can enhance risks for numerous diseases. Molecular understanding of circadian rhythm is opening new frontiers through behavioral interventions, timing of drug administration and pharmacological targeting of circadian clock components to prevent or treat diseases.
Sleep-extension among short sleepers or restricting eating window through time-restricted eating among people with erratic eating pattern are emerging as non-pharmacological interventions to improve health. Optimal timing of drug administration can reduce adverse side effects or improve efficacy. Finally, small molecule agonists or antagonists of circadian clock components are showing efficacy against a range of diseases from metabolic syndrome to cancer in pre-clinical studies.
Conflict of interest: Dr. Panda is the author of the book “The Circadian Code”.
Kristefan Minski
Ars Electronica Australia, Australia.
Over the last 4 decades, the Ars Electronica has played a significant role in creating a dialogue with society about the impact of technology on our future. Pioneering robotic artists have become synonymous with the annual festival and the highly endowed Prix Ars Electronica awards for excellence in Cyberart.
With the founding of the Ars Electronica Futurelab in 1996, the platform was branching further afield and has contributed to cutting edge robotic research with world leading partners such as Honda Robotics, MIT Media Lab, Mercedes Benz, Fraunhofer, Queensland University of Technology and NTT. As a stand-alone Experimental Arts collective, the Futurelab has also produced paradigm shifting Media Art projects such as the world renowned Robotic LED Swarm System - Spaxels (Space + Pixel).
At the core of Ars Electronica’s approach is a human-centric impetus that is evident in the curated art+robotic exhibitions of its museum where themes like Robotinity convey the importance of developing new approaches to human and machine communication design. With the rise of AI and the impact on our daily lives, there is nowadays a saturation of robotic and AI artwork as the necessity for critical perspective on such topics becomes paramount to contemporary discourse.
The presentation will conclude with several new works from Ars Electronica Australia that were developed for the recent festival themes of AI: Das Andere Ich (The Other I) and Error: the Art of Imperfection.