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Maurizio De Pitta
Maurizio De Pitta
Maurizio De Pitt'a, PhD, is the principal investigator of the Neuron-Glial Interactions Lab (NGILab) at the Krembil Research Institute (Toronto, Canada), and an external scientific member at the Basque Center for Applied Mathematics (BCAM) in Bilbao (Spain). His expertise is on neuron-glial interactions in the healthy and diseased brain. He uses multi-disciplinary approaches at the cross-roads of Physics and Computer Science, and collaborate with biologists, engineers and medical doctors, to harness the complexity of neuron-glial signaling, from the subcellular realm to Systems' levels. He is also principal investigator of the ASTROTECH Consortium, member of the CliSyNe Network, and of the Board of Directors of the Organization of Computational Neurosciences.
Patricio Orio
Patricio Orio
Patricio Orio, PhD, is Full Professor at the Neuroscience Institute in the Universidad de Valparaíso, Chile, where he leads the Valparaíso Neural Dynamics Laboratory 'VaNDaL'. He is a Biochemist and during his PhD degree in Science from the Universidad de Chile he was trained in electrphysiology and ion channel biophysics. During his postdoctoral training in the Instituto de Neurociencias de Alicante, he studied the neurophysiology of cold-sensitive neurons. Then, he started an independent research career doing numerical simulation and mathematical analysis of models of neuronal excitability, ranging from detailed single neuron models to whole brain dynamics. Within this variety of models, his main research interest is to understand how complex behaviors can emerge in the brain at different levels, and specially trying to bridge the gap between different scales. At VaNDaL, students with very different backgrounds converge in an interdisciplinary environment where neuroscience meets mathematics.
Patricio is in the organisation committee of LACONEU, the Latin American Summer School in Computational Neuroscience, than every odd year attracts students from Latin America and abroad. He is and has been principal investigator in several grants from the chilean Agencia Nacional de Investigación y Desarrollo (ANID), and participates in collaborative grants such as the Advanced Center for Electrical and Electronical Engineering (AC3E). From 2017 to 2023, he was Director of the PhD Progran in Biophysics and Computational Biology at Universidad de Valparaíso.
Pamela Illescas-Maldonado
Pamela Illescas-Maldonado
PhD (c) Pamela Illescas-Maldonado studies in the PhD program in Sciences mention in Biophysics and Computational Biology, Faculty of Science, at the Universidad de Valparaiso, Chile, participates as a doctoral student in the Interdisciplinary Center Neuroscience of Valparaiso, and in the Advanced Center of Electrical and Electronic Engineering, at the Universidad Federico Santa Maria. She completed her doctoral internship at the Krembil Research Institute, University Health Network, Toronto, Canada. Pamela holds a Bachelor's degree with highest honors in Medical Technology with mention in Imaging and Medical Physics, from Universidad de Valparaíso.
Her doctoral research explores neuron-astrocyte interactions in a network model to understand how glial cells modulate brain activity and oscillations, especially in epilepsy. Her purpose is to contribute to the development of new therapies for neurodegenerative and neuroinflammatory diseases targeting glial cells.
Andre Longtin
Andre Longtin
André Longtin is Professor of Physics at the University of Ottawa, where he runs the Neurophysics and Nonlinear Dynamics Group. He is cross-appointed to the Neuroscience program in the Faculty of Medicine, and co-directs the uOttawa Centre for Neural Dynamics. His main interests lie at the interface of nonlinear dynamics, statistical physics, biology and medicine. He explores the physical principles of brain function, the origin and role of randomness in neural and other nonlinear systems, especially those with memory, delays and plasticity.
He received an honors B.Sc. in Physics in 1983 and an M.Sc. in Physics in 1985 from the Université de Montréal, and his Ph.D. in Physics from McGill University in 1989. His doctoral thesis was a theoretical and experimental study of nonlinear oscillations, noise and chaos in neural delayed feedback systems. He was co-supervised by Michael Mackey and John Milton at the MNI. He then joined Los Alamos National Laboratory for two years, both as a Natural Sciences and Engineering Research Council of Canada Postdoctoral Fellow and a Los Alamos Director's Funded Postdoctoral Fellow. He held a joint position in the Theoretical Division T13 (Complex Systems) and the Center for Nonlinear Studies. He began as assistant professor of Physics in 1992 at the University of Ottawa. He is now Professor since 2002.
He is a Fellow of the American Physical Society, and on the editorial board of Biological Cybernetics, Cognitive Neurodynamics, Bulletin of Mathematical Biology, Journal of Mathematical Neuroscience, Entropy, Frontiers in Computational Neuroscience and Frontiers in Applied Mathematics and Statistics-Dynamical Systems. He received a senior Research Prize from the Humboldt Foundation in Germany in 2010, and the NSERC Brockhouse Prize for Interdisciplinary Research with Len Maler in 2017. He collaborates very closely with neurobiologists as well as clinicians.
Claudia Clopath
Claudia Clopath
Professor Claudia Clopath is based in the Bioengineering Department at Imperial College London. She is heading the Computational Neuroscience Laboratory. Her research interests are in the field of neuroscience, especially insofar as it addresses the questions of learning and memory. She uses mathematical and computational tools to model synaptic plasticity, and to study its functional implications in artificial neural networks.
Prof. Clopath holds an MSc in Physics from the EPFL and did her PhD in Computer Science under Wulfram Gerstner. Before joining Imperial College, she did postdoctoral fellowships in neuroscience with Nicolas Brunel at Paris Descartes and in the Center for Theoretical Neuroscience at Columbia University.
https://cclopath.bg-research.cc.ic.ac.uk/members/claudia_clopath/
Scott Rich
Scott Rich
Dr. Scott Rich is an Assistant Professor at the University of Connecticut’s Department of Physiology and Neurobiology, with affiliate appointments in the Departments of Mathematics and Biomedical Engineering as well as the Institute for Brain and Cognitive Sciences. The Rich Lab uses computational neuroscience in research focused on deciphering how the brain benefits from biophysical diversity at the level of neurons and their microcircuits. The lab’s current research foci include delineating how such diversity might promote physiological as opposed to pathological microcircuit oscillations and using this computational perspective to better understand the mechanism of action by which Vagus Nerve Stimulation improves motor rehabilitation in post-stroke patients. Dr. Rich received his Ph.D. in Applied and Interdisciplinary Mathematics from the University of Michigan before completing postdoctoral training at the Krembil Brain Institute and SickKids Research Institute in Toronto, Canada.
Camilo David Libedinsky
Camilo David Libedinsky
PhD Camilo Libedinsky is Assistant Professor at Department of Psychology, NUS; Ph.D. in Neuroscience, Harvard University; and B.Sc. in Biology, Universidad de Chile.
His research has studied the computational properties of prefrontal neuron populations.
Samy Castro
Samy Castro
PhD. Samy Castro is fascinated by the intersection of complexity, cognition, and biology. He earned his Bachelor's degree in Biology from the University of Chile, where He delved into Santiago’s theory of cognition. Pursuing his curiosity further, Samy completed a PhD in Computational Neuroscience at the University of Valparaíso, focusing on computational modeling of brain activity at the global scale. His PhD research combined network analysis and whole-brain dynamics modeling to understand how the human cortex’s topological organization influences regions’ propensity to broadcast information through the brain. Following his theoretical passion, He moved to Strasbourg, France, to delve into the complex world of functional dynamics. In his main project, Samy investigated the complex oscillatory dynamics of multi-scale connectome-based models, incorporating detailed connectivity between cortical layers. He is now interested in the dynamics of complex collectives of brain components in a lot of different ways.
https://funsyteam.org/team_members/
https://scholar.google.com/citations?user=aUxULAYAAAAJ&hl=es
Alessandro Sanzeni
Alessandro Sanzeni
PhD Alessandro is Assistant Professor in the Department of Computing Sciences at Bocconi University. His research is focused on tackling problems in neurobiology, by means of physical and mathematical modeling, with close relation to experimental data. Before joining Bocconi, He was a researcher at Columbia University, Duke University, and the National Institutes of Health. He was also a visiting researcher at the University of Chicago, the University of California San Diego, and the Pasteur Institute in Paris. Before doing research abroad, He studied theoretical physics at the University of Milan in Italy.
Marilyn Gatica
Marilyn Gatica
Marilyn is a Postdoctoral Research Assistant at the Network Science Institute at Northeastern University London. She has explored a wide range of scientific questions, including healthy aging, frontotemporal dementia, and the effects of transcranial ultrasound stimulation, a novelty non-invasive neuromodulation technique. Her research has integrated data analysis with multivariate information theory, statistics, machine learning, and whole-brain modeling.
Salvador Dura-Bernal
Salvador Dura-Bernal
PhD Salvador Dura-Bernal is an Assistant Professor in the Physiology and Pharmacology department at SUNY Downstate, a Research Scientist at the Nathan Kline Institute for Psychiatric Research, and the Interim Co-Director of the Global Center for AI in Mental Health. He completed his PhD and first postdoc at the University of Plymouth, UK; followed by postdocs at Johns Hopkins and SUNY Downstate.
His research focuses on understanding the brain cortical circuits through large-scale biophysically-detailed simulations. Dr. Dura-Bernal developed a software tool for multiscale modeling of brain circuits, which has been used in over 40 labs worldwide. The models provide insights into cortical dynamics and disease, and help develop new hypotheses, guide experimentation and evaluate new pharmacological and neurostimulation treatments. He received the 2019 Robert Furchgott Scholar Award, an early career investigator prize; the 2017 Best Use of AI Award from HPCwire, a leading supercomputing publication; and was selected as a Google Cloud Research Innovator. Dura-Bernal is currently the Principal Investigator in multiple grants funded by the National Institutes of Health (NIH), the National Science Foundation (NSF) and the NY State Spinal Cord Injury Board.
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