Patrick Daniel BarthProfessor Patrick Barth is Associate Professor at EPFL and Adjunct Associate Professor at Baylor College of Medicine, Houston, TX, USA. He received training in Physics, Chemistry and Biology (University of Paris, ENS) in France and performed his PhD at the Commissiariat a l'Energie Atomique in Saclay, France on structure/function studies of membrane proteins (photosystem I) using biochemical and biophysical experimental techniques. He carried out postdoctoral studies at University of California at Berkeley with Tom Alber on computational development for calculating protein electrostatics and designing de novo selective peptide inhibitors of cellular protein interactions. He then went to the University of Washington as a postdoctoral fellow and instructor in David Baker's laboratory to develop computational techniques in the software Rosetta for predicting and designing membrane protein structures. He started his independent career and received tenure at Baylor College of Medicine. He will continue at EPFL to marry computation and experiment for understanding the molecular determinants of signal transduction, as well as modeling and designing membrane proteins with novel functions for various synthetic biology and therapeutic applications.
Thierry MeyerThierry Meyer received in 1986 a diploma degree (MSc) in chemical engineering from the Swiss Federal Institute of Technology at Lausanne (EPFL). He was awarded in 1989 a PhD at EPFL for his thesis on micromixing in highly viscous polymeric media. He joined the Institute of Chemical Engineering from 1989 till 1993 as senior scientist in the field of polymerization reactions. In 1994 he joined Ciba-Geigy SA in the pigment division as successively development chemist, head of development a.i. and finally production manager for high performance pigments. Returning to the Institute of Chemical Engineering at EPFL in Lausanne by the end of 1998, he was nominated maître denseignement et de recherche (MER) for leading a new research group in the field of polymers and supercritical fluids, and teaching to chemists, chemical engineers and material sciences, disciplines as process development, introduction to chemical engineering, polymer and organic chemistry at master and bachelor program. In 2005 he owned the responsibility of the Occupational Health and Safety of the school of basic sciences on top of his research activities dealing with risk management and supercritical fluids. He is presently teaching introduction to chemical engineering at bachelor level, risk management at master level and specific courses on safety and engineering risk management in continuing education. He acts also as consultant and expert in risk assessment and chemical engineering matters by the ICC (International Chamber of Commerce) of the World Business Organization, by several consultancy companies and by major and SMEs chemical industries. Thierry Meyer is currently member of several international associations of the European Federation of Chemical Engineering, American institution of chemical engineering, American chemical society and senior member of the American Institute of Chemical Engineers. He was elected chairman of the European Working Party on Polymer Reaction Engineering from 2001 till 2006. He his currently the Swiss academic member of the European Working Party on Loss Prevention and Safety Promotion as well as of the European Working Party on Education. He is member of several editorial boards: Chemical Engineering Research and Design, Macromolecular Reaction Engineering, Chemical Engineering and Technology, Journal of Chemical Health and Safety.
Bruno Emanuel Ferreira De Sousa CorreiaThroughout my PhD and postdoctoral studies I was trained in world-renowned laboratories and institutions in the United States of America (University of Washington and The Scripps Research Institute). Very early in my scientific career I found out my fascination about protein structure and function. My PhD studies evolved in the direction of immunogen design and vaccine engineering which sparked my interest in the many needs and opportunities in vaccinology and translational research. My efforts resulted in an enlightening piece of work where for the first time, computationally designed immunogens elicited potent neutralizing antibodies. During my postdoctoral studies I joined a chemical biology laboratory at the Scripps Research Institute. In this stage I developed novel chemoproteomics methods for the identification of protein-small molecule interaction sites in complex proteomes. In March 2015, I joined the École Polytechnique Fédérale de Lausanne (EPFL) – Switzerland as a tenure track assistant professor. The focus of my research group is to develop computational tools for protein design with particular emphasis in applying these strategies to immunoengineering (e.g. vaccine and cancer immunotherapy). The activities in my laboratory focus on computational design methods development and experimental characterization of the designed proteins. Our laboratory has been awarded with 2 prestigious research grants from the European Research Council. Lastly, I have been awarded the prize for best teacher of Life sciences in 2019.
Pascal FuaPascal Fua received an engineering degree from Ecole Polytechnique, Paris, in 1984 and the Ph.D. degree in Computer Science from the University of Orsay in 1989. He then worked at SRI International and INRIA Sophia-Antipolis as a Computer Scientist. He joined EPFL in 1996 where he is now a Professor in the School of Computer and Communication Science and heads the Computer Vision Laboratory. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and Augmented Reality. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and machine learning. He has (co)authored over 300 publications in refereed journals and conferences. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences and has cofounded three spinoff companies (Pix4D, PlayfulVision, and NeuralConcept).
Kristina SchoonjansExpertise
Bile acid signalingNutrient sensingIntermediary metabolismMetabolic disorders
Teaching & PhD PhD Students Adrien Faure Past EPFL PhD Students Pan Xu, Ece Yildiz, Nadia Bresciani, Yu Sun, Francesca Pontanari, Alejandro Alonso Calleja Past EPFL PhD Students as codirector Mitsunori Nomura, Pan Xu, Katyayanee Neopane, Lucie Camille Chanvillard, Jakob Josef Langer, Bilge Sen Elçi Courses General Biology BIOENG-110 The purpose of the course is to provide a general overview of the biolo
Johan AuwerxJohan Auwerx is Professor at the École Polytechnique Fédérale in Lausanne, Switzerland, where he occupies the Nestle Chair in Energy Metabolism. Dr. Auwerx has been using molecular physiology and systems genetics to understand metabolism in health, aging and disease. Much of his work focused on understanding how diet, exercise and hormones control metabolism through changing the expression of genes by altering the activity of transcription factors and their associated cofactors. His work was instrumental for the development of agonists of nuclear receptors - a particular class of transcription factors - into drugs, which now are used to treat high blood lipid levels, fatty liver, and type 2 diabetes. Dr. Auwerx was amongst the first to recognize that transcriptional cofactors, which fine-tune the activity of transcription factors, act as energy sensors/effectors that influence metabolic homeostasis. His research validated these cofactors as novel targets to treat metabolic diseases, and spurred the clinical use of natural compounds, such as resveratrol, as modulators of these cofactor pathways.
Johan Auwerx was elected as a member of EMBO in 2003 and is the recipient of a dozen of international scientific prizes, including the Danone International Nutrition Award, the Oskar Minkowski Prize, and the Morgagni Gold Medal. His work is highly cited by his peers with a h-factor of over 100. He is an editorial board member of several journals, including Cell Metabolism, Molecular Systems Biology, The EMBO Journal, Journal of Cell Biology, Cell, and Science. Dr. Auwerx co-founded a handful of biotech companies, including Carex, PhytoDia, and most recently Mitobridge, and has served on several scientific advisory boards.
Dr. Auwerx received both his MD and PhD in Molecular Endocrinology at the Katholieke Universiteit in Leuven, Belgium. He was a post-doctoral research fellow in the Departments of Medicine and Genetics of the University of Washington in Seattle.
Pierre VandergheynstPierre Vandergheynst received the M.S. degree in physics and the Ph.D. degree in mathematical physics from the Université catholique de Louvain, Louvain-la-Neuve, Belgium, in 1995 and 1998, respectively. From 1998 to 2001, he was a Postdoctoral Researcher with the Signal Processing Laboratory, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. He was Assistant Professor at EPFL (2002-2007), where he is now a Full Professor of Electrical Engineering and, by courtesy, of Computer and Communication Sciences. As of 2015, Prof. Vandergheynst serves as EPFL’s Vice-Provost for Education. His research focuses on harmonic analysis, sparse approximations and mathematical data processing in general with applications covering signal, image and high dimensional data processing, computer vision, machine learning, data science and graph-based data processing. He was co-Editor-in-Chief of Signal Processing (2002-2006), Associate Editor of the IEEE Transactions on Signal Processing (2007-2011), the flagship journal of the signal processing community and currently serves as Associate Editor of Computer Vision and Image Understanding and SIAM Imaging Sciences. He has been on the Technical Committee of various conferences, serves on the steering committee of the SPARS workshop and was co-General Chairman of the EUSIPCO 2008 conference. Pierre Vandergheynst is the author or co-author of more than 70 journal papers, one monograph and several book chapters. He has received two IEEE best paper awards. Professor Vandergheynst is a laureate of the Apple 2007 ARTS award and of the 2009-2010 De Boelpaepe prize of the Royal Academy of Sciences of Belgium.
Myrto LimniosTeaching & PhD Courses Empirical processes MATH-522 We learn how to control the nonasymptotic and random behavior of collections of estimators, when indexed by classes of functions/sets. Examples range from prototypical estimators used by statisticians, to nonparametric models used in machine learning. Regression methods MATH-408 General graduate course on regression methods
