Mats Julius StensrudTeaching & PhD PhD Students Ignacio Gonzalez Perez, Gellért Géza Perényi, Lorenzo Gasparollo, Julien David Laurendeau Past EPFL PhD Students Matias Janvin, Amit Sawant Courses Causal thinking MATH-352 This course will give a unified presentation of modern methods for causal inference. We focus on concepts, and we will present examples and ideas from various scientific disciplines, including medicine, computer science, engineering, economics and epidemiology. Probability and statistics (
Eduardo Martin MoraudExpertise
The Moraud group develops closed-loop neuromodulation therapies for movement disorders, particularly Parkinson’s disease, with a specific emphasis on gait and balance impairments. The group integrates multimodal monitoring of motor and neural biomarkers to enable real-time decoding of dysfunctional states and their underlying neural dynamics, advancing a circuit-level understanding of locomotor control and informing the design of state-dependent adaptive therapies.
Mission
The group aims to transl
Tomislav MilekovicMission
Develop and advance brain-computer interfaces - devices that allow people with paralysis to control computers, robotic hands or their own paralyzed muscles directly by their brain activity - for the purpose of helping people with paralysis regain their lost abilities.
I obtained my dipl. ing. degree in Physics (equivalent to MSc in Physiscs) from the Faculty of Science of the Zagreb University in July 2006. During my undergraduate studies, I was awarded the Best Student award of the Department of Ph
Graham KnottGraham Knott received his degree in physiology from the University of Southampton, UK, in 1990, and his PhD in neuroscience from the University of Tasmania, Australia, in 1995. He moved to the University of Lausanne in Switzerland in 1999 where he researched the plasticity of neuronal connectivity in the adult brain, developing correlative light and electron microscopy methods for the analysis of in vivo imaged neurons. In 2006 Graham joined the Ecole Polytechnique Fédérale de Lausanne, establishing the Bio Electron Microscopy Facility and has continued his research interests in brain plasticity and 3D electron microscopy.
Henry MarkramHenry Markram started a dual scientific and medical career at the University of Cape Town, in South Africa. His scientific work in the 80s revealed the polymodal receptive fields of pontomedullary reticular formation neurons in vivo and how acetylcholine re-organized these sensory maps.
He moved to Israel in 1988 and obtained his PhD at the Weizmann Institute where he discovered a link between acetylcholine and memory mechanisms by being the first to show that acetylcholine modulates the NMDA receptor in vitro studies, and thereby gates which synapses can undergo synaptic plasticity. He was also the first to characterize the electrical and anatomical properties of the cholinergic neurons in the medial septum diagonal band.
He carried out a first postdoctoral study as a Fulbright Scholar at the NIH, on the biophysics of ion channels on synaptic vesicles using sub-fractionation methods to isolate synaptic vesicles and patch-clamp recordings to characterize the ion channels. He carried out a second postdoctoral study at the Max Planck Institute, as a Minerva Fellow, where he discovered that individual action potentials propagating back into dendrites also cause pulsed influx of Ca2 into the dendrites and found that sub-threshold activity could also activated a low threshold Ca2 channel. He developed a model to show how different types of electrical activities can divert Ca2 to activate different intracellular targets depending on the speed of Ca2 influx an insight that helps explain how Ca2 acts as a universal second messenger. His most well known discovery is that of the millisecond watershed to judge the relevance of communication between neurons marked by the back-propagating action potential. This phenomenon is now called Spike Timing Dependent Plasticity (STDP), which many laboratories around the world have subsequently found in multiple brain regions and many theoreticians have incorporated as a learning rule. At the Max-Planck he also started exploring the micro-anatomical and physiological principles of the different neurons of the neocortex and of the mono-synaptic connections that they form - the first step towards a systematic reverse engineering of the neocortical microcircuitry to derive the blue prints of the cortical column in a manner that would allow computer model reconstruction.
He received a tenure track position at the Weizmann Institute where he continued the reverse engineering studies and also discovered a number of core principles of the structural and functional organization such as differential signaling onto different neurons, models of dynamic synapses with Misha Tsodyks, the computational functions of dynamic synapses, and how GABAergic neurons map onto interneurons and pyramidal neurons. A major contribution during this period was his discovery of Redistribution of Synaptic Efficacy (RSE), where he showed that co-activation of neurons does not only alter synaptic strength, but also the dynamics of transmission. At the Weizmann, he also found the tabula rasa principle which governs the random structural connectivity between pyramidal neurons and a non-random functional connectivity due to target selection. Markram also developed a novel computation framework with Wolfgang Maass to account for the impact of multiple time constants in neurons and synapses on information processing called liquid computing or high entropy computing.
In 2002, he was appointed Full professor at the EPFL where he founded and directed the Brain Mind Institute. During this time Markram continued his reverse engineering approaches and developed a series of new technologies to allow large-scale multi-neuron patch-clamp studies. Markrams lab discovered a novel microcircuit plasticity phenomenon where connections are formed and eliminated in a Darwinian manner as apposed to where synapses are strengthening or weakened as found for LTP. This was the first demonstration that neural circuits are constantly being re-wired and excitation can boost the rate of re-wiring.
At the EPFL he also completed the much of the reverse engineering studies on the neocortical microcircuitry, revealing deeper insight into the circuit design and built databases of the blue-print of the cortical column. In 2005 he used these databases to launched the Blue Brain Project. The BBP used IBMs most advanced supercomputers to reconstruct a detailed computer model of the neocortical column composed of 10000 neurons, more than 340 different types of neurons distributed according to a layer-based recipe of composition and interconnected with 30 million synapses (6 different types) according to synaptic mapping recipes. The Blue Brain team built dozens of applications that now allow automated reconstruction, simulation, visualization, analysis and calibration of detailed microcircuits. This Proof of Concept completed, Markrams lab has now set the agenda towards whole brain and molecular modeling.
With an in depth understanding of the neocortical microcircuit, Markram set a path to determine how the neocortex changes in Autism. He found hyper-reactivity due to hyper-connectivity in the circuitry and hyper-plasticity due to hyper-NMDA expression. Similar findings in the Amygdala together with behavioral evidence that the animal model of autism expressed hyper-fear led to the novel theory of Autism called the Intense World Syndrome proposed by Henry and Kamila Markram. The Intense World Syndrome claims that the brain of an Autist is hyper-sensitive and hyper-plastic which renders the world painfully intense and the brain overly autonomous. The theory is acquiring rapid recognition and many new studies have extended the findings to other brain regions and to other models of autism.
Markram aims to eventually build detailed computer models of brains of mammals to pioneer simulation-based research in the neuroscience which could serve to aggregate, integrate, unify and validate our knowledge of the brain and to use such a facility as a new tool to explore the emergence of intelligence and higher cognitive functions in the brain, and explore hypotheses of diseases as well as treatments.
Harald Hirlingsince 2018:Adjoint du Doyen SV, Responsable Finance SVsince 2008: Adjoint du Doyen SV 2002-2010: Adjoint scientifique, SV-LNC, EPFL 2006-2008: Adjoint de Section SSV 2003-2004: coordinator (directeur) of the doctoral program in Neuroscience, EPFL Doctoral School 1994-2001: University of Lausanne Stanford University Institut Curie, Paris Education: ISREC, Epalinges (Switzerland). University of Konstanz (Germany)
Mihai Adrian IonescuAdrian M. Ionescu is Full Professor at the Swiss Federal Institute of Technology, Lausanne, Switzerland. He received the B.S./M.S. and Ph.D. degrees from the Polytechnic Institute of Bucharest, Romania and the National Polytechnic Institute of Grenoble, France, in 1989 and 1997, respectively. He has held staff and/or visiting positions at LETI-CEA, Grenoble, France and INP Grenoble, France and Stanford University, USA, in 1998 and 1999. Dr. Ionescu has published more than 600 articles in international journals and conferences. He received many Best Paper Awards in international conferences, the Annual Award of the Technical Section of the Romanian Academy of Sciences in 1994 and the Blondel Medal in 2009 for contributions to the progress in engineering sciences in the domain of electronics. He is the 2013 recipient of the IBM Faculty Award in Engineering. He served the IEDM and VLSI conference technical committees and was the Technical Program Committee (Co)Chair of ESSDERC in 2006 and 2013. He is a member of the SATW. He is director of the Laboratory of Micro/Nanoelectronic Devices (NANOLAB).
Nako NakatsukaMission
At the Laboratory of Chemical Nanotechnology (CHEMINA), our mission is to develop translational chemical biosensing technologies that advance human health. Working at the intersection of chemistry, engineering, and neuroscience, we seek to probe the dynamic chemical landscape of biological systems across in vitro systems, in vivo models, and human clinical samples. We develop novel biorecognition elements and innovate biosensing platforms to enable monitoring of small molecules in complex biofluids,
Pierre MagistrettiPierre J. Magistretti is an internationally-recognized neuroscientist who has made significant contributions in the field of brain energy metabolism. His group has discovered some of the cellular and molecular mechanisms that underlie the coupling between neuronal activity and energy consumption by the brain.
This work has considerable ramifications for the understanding of the origin of the signals detected with the current functional brain imaging techniques used in neurological and psychiatric research (see for example Magistretti et al, Science, 283: 496 497, 1999). He is the author of over 100 articles published in peer-reviewed journals.
He has given over 80 invited lectures at international meetings or at universities in Europe and North America, including the 2000 Talairach Lecture at the Functional Mapping of the Human Brain Conference. In November 2000 he has been a Mc Donnel Visiting Scholar at Washington University School of Medicine.
Pierre J. Magistretti is the President-Elect (2002 2004) of the Federation of European Neuroscience Societies (FENS) which has a membership of over 15000 European neuroscientists. He has been first president of the Swiss Society for Neuroscience (1997-1999) and the first Chairman of the Department of Neurosciences of the University of Lausanne (1996 1998).
Pierre J. Magistretti is Professor of Physiology (since 1988) at the University of Lausanne Medical School. He has been Vice-Dean of the University of Lausanne Medical School from 1996 to 2000. Pierre Magistretti, is Director of the Brain Mind Institute at EPFL and Director of the Center for Psychiatric Neuroscience of the University of Lausanne and CHUV. He is also Director of the NCCR SYNAPSY "the synaptic bases of mental diseases".
POSITIONS AND HONORS
MAIN POSITION HELD
1988-2004 Professor of Physiology, University of Lausanne Medical School
1996-2000 Vice-Dean for Preclinical Departments, University of Lausanne Medical School
2001-2004 Chairman, Department of Physiology, University of Lausanne Medical School
2004-present Professor and Director, Center for Psychiatric Neuroscience, Department of Psychiatry, University of Lausanne Medical School and Hospitals (UNIL-CHUV) (Joint appointment with EPFL)
2005-2008 Professor and Co-Director, Brain Mind Institute, Federal Institute of Technology (EPFL), Lausanne (Joint appointment with UNIL-CHUV)
2007-present Chairman of the Scientific Advisory Board of Centre dImagerie Biomédicale (CIBM), an Imaging Consortium of the Universities, University Hospitals of Lausanne and Geneva and of Ecole Polytechnique Fédérale de Lausanne
2008-present Professor and Director, Brain Mind Institute, Federal Institute of Technology (EPFL), Lausanne Joint appointment with UNIL-CHUV)
2010-present Director, National Center for Competence in Research (NCCR)
The synaptic bases of mental diseases of the Swiss National Science Foundation
2010-present Secretary General, International Brain Research Organization (IBRO)
MAIN HONORS AND AWARDS
1997 Recipient of the Theodore-Ott Prize of the Swiss Academy of Medical Sciences
2001 Elected Member of Academia Europaea
2001 Elected Member of the Swiss Academy of Medical Sciences, ad personam
2002 Recipient of the Emil Kraepelin Guest Professorship, Max Planck Institute für Psychiatry, Münich
2006 Elected Professor at Collège de France, Paris, International Chair 2007-2008
2009 Goethe Award for Psychoanalytic Scholarship, Canadian Psychological Association
2011 Camillo Golgi Medal Award, Golgi Fondation
2011 Elected Member of the American College of NeuroPsychopharmacology (ACNP)
Wulfram GerstnerWulfram Gerstner is Director of the Laboratory of Computational Neuroscience LCN at the EPFL. His research in computational neuroscience concentrates on models of spiking neurons and spike-timing dependent plasticity, on the problem of neuronal coding in single neurons and populations, as well as on the link between biologically plausible learning rules and behavioral manifestations of learning. He teaches courses for Physicists, Computer Scientists, Mathematicians, and Life Scientists at the EPFL. After studies of Physics in Tübingen and at the Ludwig-Maximilians-University Munich (Master 1989), Wulfram Gerstner spent a year as a visiting researcher in Berkeley. He received his PhD in theoretical physics from the Technical University Munich in 1993 with a thesis on associative memory and dynamics in networks of spiking neurons. After short postdoctoral stays at Brandeis University and the Technical University of Munich, he joined the EPFL in 1996 as assistant professor. Promoted to Associate Professor with tenure in February 2001, he is since August 2006 a full professor with double appointment in the School of Computer and Communication Sciences and the School of Life Sciences. Wulfram Gerstner has been invited speaker at numerous international conferences and workshops. He has served on the editorial board of the Journal of Neuroscience, Network: Computation in Neural Systems', Journal of Computational Neuroscience', and `Science'.
Jan Sickmann HesthavenProf. Hesthaven received an M.Sc. in computational physics from the Technical University of Denmark (DTU) in August 1991. During the studies, the last 6 months of 1989 was spend at JET, the european fusion laboratory in Culham, UK. Following graduation, he was awarded a 3 year fellowship to begin work towards a Ph.D. at Riso National Laboratory in the Department of Optics and Fluid Dynamics. During the 3 years of study, the academic year of 1993-1994 was spend in the Division of Applied Mathematics at Brown University and three 3 months during the summer of 1994 in Department of Mathematics and Statistics at University of New Mexico. In August 1995, he recieved a Ph.D. in Numerical Analysis from the Institute of Mathematical Modelling (DTU). Following graduation in August 1995, he was awarded an NSF Postdoctoral Fellowship in Advanced Scientific Computing and was approinted Visiting Assistant Professor in the Division of Applied Mathematics at Brown University. In December of 1996, he was appointed consultant to the Institute of Computer Applications in Science and Engineering(ICASE) at NASA Langley Research Center (NASA LaRC). As of July 1999, he was appointed Assistant Professor of Applied Mathematics, in September 2000 he was awarded an Alfred P. Sloan Fellowship, as of July 2001 he was awarded a Manning Assistant Professorship, and in March 2002, he was awarded an NSF Career Award. In January 2003, he was promoted to Associate Professor of Applied Mathematics with tenure and in May 2004 he was awarded Philip J. Bray Award for Excellence in Teaching in the Sciences (the highest award given for teaching excellence in all sciences at Brown University). He was promoted to Professor of Applied Mathematics as of July 2005. From October 2006 to June 2013, he was the Founding Director of the Center for Computation and Visualization (CCV) at Brown University. As of October 2007, he holds the (honorary) title of Professor (Adjunct) at the Technical University of Denmark. In November 2009, he successfully defended his dr.techn thesis at the Technical University of Denmark and was rewarded the degree of Doctor Technices -- the highest academic distinction awarded based on ... substantial and lasting contributions that has helped to move the research area forward and penetrated into applications. As grant Co-PI he served from Aug 2010 to June 2013 as Deputy Director of the Institute of Computational and Experimental Research in Mathematics (ICERM), the newest NSF Mathematical Sciences Research Institute. After having spend his entire academic career at Brown University, Prof Hesthaven decided to pursue new challenges and joined the Mathematics Institute of Computational Science and Engineering (MATHICSE) at Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland in July 2013. In March 2014 he was elected SIAM Fellow for contributions to high-order methods for partial differential equations.
Ute KochExpertise
SCIENTIFIC EXPERTISESCurrent Molecular Biology and Cloning, Developmental Biology, Cellular and Molecular Immunology, Lymphocyte Maturation and Lineage Commitment, Thymic Selection, Hematopoietic Stem Cell Biology, Bone Marrow Transplantation, Graft-versus-Host Disease, Skin Transplantation, T Lymphocyte Subset Induction (Th1 - Th2, Cytokine Regulation), Extensive Knowledge in Flow CytometryIT SKILLSMicrosoft-Office: Word, Excel, PowerPoint.File Maker Pro: Database design and management.Flow cytom
Martin JaggiMartin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.
