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.
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
Marco PicassoExpertise
Computational Science and Engineering
Mission
I am teaching analysis and numerical analysis for engineers and mathematicians at bachelor and master levels.My research pertains to the numerical simulation of complex physical systems with partial differential equations.Here is some bibliometry: Google Scholar, Research Gate, Orcid, here is my most recent CV. Ongoing research projects: - Numerical simulation of aluminium electrolysis, collaboration with RioTinto LRF lab, Ycoorsystems SA and Jacques
Guido HaefeliTeaching & PhD PhD Students Federico Ronchetti, Gauri Napoletano Past EPFL PhD Students as codirector Axel Kuonen, Olivier Göran Girard, Carina Trippl Courses Particle detection PHYS-440 The course will cover the physics of particle detectors. It will introduce the experimental techniques used in nuclear and particle physics. The lecture includes the interaction of particles with matter, scintillators, gas detectors, silicon detectors, detectors for particle ID and photo-detectors.
Olivier SchneiderAfter his thesis defense in particle physics in 1989 at University of Lausanne, Olivier Schneider joins LBL, the Lawrence Berkeley Laboratory (California), to work on the CDF experiment at the Tevatron in Fermilab (Illinois), first as a research fellow supported by the Swiss National Science Foundation, and later as a post-doc at LBL. He participates in the construction and commissioning of the first silicon vertex detector to operate successfully at a hadron collider; this detector enabled the discovery of the sixth quark, named "top". Since 1994, he comes back to Europe and participates in the ALEPH experiment at CERN's Large Electron-Positron Collider, as CERN fellow and then as CERN scientific staff. He specializes in heavy flavour physics. In 1998, he becomes associate professor at University of Lausanne, then extraordinary professor at the Swiss Institute of Technology Lausanne (EPFL) in 2003, and finally full professor at EPFL in 2010. Having worked since 1997 on the preparation of the LHCb experiment at CERN's Large Hadron Collider, which started operation in 2009, he is now analyzing the first data. He also contributes since 2001 to the exploitation of the data recorded at the Belle experiment (KEK laboratory, Tsukuba, Japan). These two experiments study mainly the decays of hadrons containing a b quark, as well CP violation, i.e. the non-invariance under the symmetry between matter and antimatter.
Bruno LemaitrePersonal Webpage
http://brunolemaitre.ch
Personal Webpage http://brunolemaitre.ch
Teaching & PhD PhD Students Blandine Ribotta, Yao Tian, Désirée Popelka, Prince Kumar Sah, Siqi Wang, Kenan Krakovic, Nathan Alexandre Klotz Past EPFL PhD Students Sveta Chakrabarti, Olivier Binggeli, Jeremy Keith Herren, Juan Camilo Paredes Escobar, Alfred Chng, Maroun Bou Sleiman, Jan Paul Dudzic, Mario Gonzalo Garcia Arraez, Claudia Melcarne, Alice Marra, Bianca Marie Petrignani, Mark Austin Hanson, Alexia Laurie Carboni Rudolf HoviusExpertise
•Protein structure, expression & purification•Molecular interaction & receptor activation•Fluorescence imaging & spectroscopySignalling & sensing
Mission
=> Teaching: Lecture courses, tutorials and practicals in biochemistry, biophysical chemistry of membranes and signalling processes. Participating to the Commission d'Enseignement and Commission de l'Ecole Doctorale of Chemistry and Chemical Engineering.=> Research interests: Protein function and structure, Membrane protein (especially recepto
Markus JeschekTeaching & PhD PhD Students Ricardo Javier Farrera Muro, Clemens Felix Hausmann, Nikolas Seidel, Nicolas Alexander Jaenisch, Charlotte Desczyk, Izabella Maja Pomykalska Courses Chemical biology CH-313 Chemical Biology is an interdisciplinary field using chemical principles and techniques to analyse and manipulate biological systems. It relies on small-molecule chemicals to gain an in-depth understanding of biology, and provides new tools and products ranging from basic research to therapeu
Jean-Marie Drezet1992-1996: PhD work at Laboratoire de Métallurgie Physique under the supervision of Prof. Michel Rappaz (cf : http://library.epfl.ch/theses/?display=detail&nr=1509) 1997-2000: EMPACT project (European Modelling Programme for Aluminium Casting Technologies) 2001-2004: VIRCAST project (European Virtual Casting) 2005-2006: Study of the sawing process of rolling sheet al. ingots (Alcan Fonds) 2005-2006: WelAIR project (Welding of Airframes, EADS) 2005-2008: study of the electron beam welding of Cu-Cr-Zr alloys (CEA, France) 2006-2008: study of the laser beam welding of Al-Li alloys (EADS, France) 2008-2011: co-supervision with Prof. A. Nussbaumer of the PhD work of C. Acevedo on the influence of residual stresses on the fatigue design of tubular welded joints, http://library.epfl.ch/theses/?nr=5056 2007-2010: co-supervision with Prof. J.-F. Molinari of the PhD work of K. Shahim on the Normal Pressure Hydrocephalus (S. Momjian, HU-Genève et R. Sinkus, ESPCI-Paris), http://library.epfl.ch/theses/?nr=5191 2008-2012: co-supervision with Prof. M. Rappaz of the PhD work of M. Sistaninia on the simulation of solidification cracking using granular models (CCMX-MERU project) 2010-2014: supervision with Prof. M. Rappaz of the PhD work of N. Chobaut on the modelling of stresses during quenching of thick heat treatable aluminium parts (CCMX-MERU project) 2011-2015: supervision with Prof. H. Van Swygenhoven-Moens of the PhD work of P. Schloth on precipitation during quenching of thick heat treatable aluminium parts (CCMX-MERU project) Giuseppe CarleoGiuseppe Carleo is a computational quantum physicist, whose main focus is the development of advanced numerical algorithms tostudy challenging problems involving strongly interacting quantum systems.He is best known for the introduction of machine learning techniques to study both equilibrium and dynamical properties,based on a neural-network representations of quantum states, as well for the time-dependent variational Monte Carlo method.He earned a Ph.D. in Condensed Matter Theory from the International School for Advanced Studies (SISSA) in Italy in 2011.He held postdoctoral positions at the Institut d’Optique in France and ETH Zurich in Switzerland, where he alsoserved as a lecturer in computational quantum physics.In 2018, he joined the Flatiron Institute in New York City in 2018 at the Center for Computational Quantum Physics (CCQ), working as a Research Scientist and project leader, and also leading the development of the open-source project NetKet.Since September 2020 he is an assistant professor at EPFL, in Switzerland, leading the Computational Quantum Science Laboratory (CQSL).
Viktor KuncakViktor Kunčak joined EPFL in 2007, after receiving a PhD degree from MIT. Since then has been leading the Laboratory for Automated Reasoning and Analysis and supervised at least 12 completed PhD theses. His works on languages, algorithms and systems for verification and automated reasoning. He served as an initiator and one of the coordinators of a European network (COST action) in the area of automated reasoning, verification, and synthesis. In 2012 he received a 5-year single-investigator European Research Council (ERC) grant of 1.5M EUR. His invited talks include those at Lambda Days, Scala Days, NFM, LOPSTR, SYNT, ICALP, CSL, RV, VMCAI, and SMT. A paper on test generation he co-authored received an ACM SIGSOFT distinguished paper award at ICSE. A PLDI paper he co-authored was published in the Communications of the ACM as a Research Highlight article. His Google Scholar profile reports an over-approximate H-index of 38. He was an associate editor of ACM Transactions on Programming Languages and Systems (TOPLAS) and served as a co-chair of conferences on Computer-Aided Verification (CAV), Formal Methods in Computer Aided Design (FMCAD), Workshop on Synthesis (SYNT), and Verification, Model Checking, and Abstract Interpretation (VMCAI). At EPFL he teaches courses on functional and parallel programming, compilers, and verification. He has co-taught the MOOC "Parallel Programming" that was visited by over 100'000 learners and completed by thousands of students from all over the world.
Sébastien MarcelExpertise
image processing, pattern recognition, machine learning, biometrics
Current work
Face recognitionSpeaker recognitionMobile biometrics ( http://www.mobioproject.org )Spoofing ( http://www.tabularasa-euproject.org )Biometrics evaluation and testing ( http://www.beat-eu.org )
Sébastien Marcel is the head of the Biometrics group and senior research scientist at the Idiap Research Institute (CH), where he leads a research team and conducts research on biometrics and more particularly face recognition, Dragan DamjanovicDragan Damjanovic received BSc diploma in Physics from the Faculty of Natural Sciences and Mathematics, University of Sarajevo, in 1980, and PhD in Ceramics Science from the Department of Materials Science and Engineering, College of Earth and Mineral Sciences, the Pennsylvania State University (PSU) in 1987. From 1988 to 1991 he was a research associate in the Materials Research Laboratory at the PSU. He joined the Ceramics Laboratory, Department of Materials Science and Engineering, Ecole polytechnique fédérale de Lausanne in 1991. He is currently a "professeur titulaire", heads the Group for Ferroelectrics and Functional Oxides at the Institute of Materials and teaches undergraduate and graduate courses on structure and electrical properties of materials. The research activities include fundamental and applied investigations of piezoelectric, ferroelectric and dielectric properties of a broad class of materials.
Roland John TormeyI am a sociologist and learning scientist researching and teaching on engineering education. I'm particularly focused on the roles of emotion and self-regulation in engineering teaching and learning. My profile is accessible here.
Jean-François MolinariProfessor J.F. Molinari is the director of the Computational Solid Mechanics Laboratory (http://lsms.epfl.ch) at EPFL, Switzerland. He holds an appointment in the Civil Engineering institute, which he directed from 2013 to 2017, and a joint appointment in the Materials Science institute. He started his tenure at EPFL in 2007, and was promoted to Full Professor in 2012. He is currently an elected member of the Research Council of the Swiss National Science Foundation in Division 2 (Mathematics, Natural and Engineering Sciences), and co editor in chief of the journal Mechanics of Materials. J.F. Molinari graduated from Caltech, USA, in 2001, with a M.S. and Ph.D. in Aeronautics. He held professorships in several countries besides Switzerland, including the United States with a position in Mechanical Engineering at the Johns Hopkins University (2000-2006), and France at Ecole Normale Supérieure Cachan in Mechanics (2005-2007), as well as a Teaching Associate position at the Ecole Polytechnique de Paris (2006-2009). The work conducted by Prof. Molinari and his collaborators takes place at the frontier between traditional disciplines and covers several length scales from atomistic to macroscopic scales. Over the years, Professor Molinari and his group have been developing novel multiscale approaches for a seamless coupling across scales. The activities of the laboratory span the domains of damage mechanics of materials and structures, nano- and microstructural mechanical properties, and tribology. Michaël Clément Louis Ghislain ThémansMichaël Thémans holds a M.Sc. in Applied Mathematics (University of Namur, Belgium) and a Ph.D. in Operations Research and Transportation Modeling (EPFL, Switzerland). His Ph.D. thesis, supervised by Prof. Michel Bierlaire, was entitled "Numerical Methods and Models Relevant to Transportation Applications".
Between 2002 and 2007, he was research and teaching assistant in the Transport and Mobility Laboratory at EPFL. He published 5 papers in international journals in the field of Transportation and Operations Research. He was teaching assistant for 15 courses in Operations Research and Behavioral Modeling. He also supervised 20 master theses and research projects in Optimization and Behavioral Modeling. During the same period, he was working on several large-scale transportation-related research projects, in association with MIT and ETH Zurich as well as transportation professionals in Switzerland (Bureau Robert Grandpierre Rapp, Lausanne, Büro Widmer, Frauenfeld), sponsored both by the Swiss Federal Office of Roads and the Swiss National Science Foundation.
Between 2007 and 2009, he was statistician and R&D specialist at the Nestlé Research Center in Lausanne. He provided support in statistics and modeling to R&D centers worldwide and was involved in over 50 R&D projects. In parallel to this, he developed innovative discrete choice models to predict consumer purchasing behavior and disseminated these new methodologies to Nestlé markets worldwide. He also designed and analyzed over 40 market research studies for various Nestlé markets around the world. He also gave training in market research and Design of Experiments to R&D community.
Between 2007 and 2011, he also holded a position as lecturer at EPFL, teaching a master course in Numerical Optimization. Since 2014, he is lecturer at EPFL, co-teaching the "Global Issues" course entitled "Mobility B" which focuses on transportation systems and logistics systems.
Between 2010 and 2014, he was the Deputy Director of EPFL's Transportation Center (TraCE), in charge of the operational management of the EPFL's Transportation Center with the main focus on the business development activities. The main tasks associated with this position were:
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Develop strategic business partnerships and research projects with private companies and industries as well as public institutions and authorities, at the local, national and international levels.
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Percolate and highlight EPFL's ongoing research activities in transportation outside EPFL.
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Obtain external funding to conduct new cutting-edge multi-disciplinary research projects in the field of transportation at EPFL.
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Management of large-scale R&D projects with industry.
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Promotion of technology transfer and innovation in all fields related to transportation and mobility.
Between January 2015 and December 2016, he was Deputy of the Vice-President for Innovation and Technology Transfer at EPFL, in charge of seconding the Vice-President Adrienne Corboud Fumagalli in her various tasks.
Since January 2017, he is the Deputy of the Vice-President for Innovation at EPFL and the Head of the "Large Enterprises" and "Innovation Projects" Units of the Vice-Presidency for Innovation. He is also in charge of the operational management of 5 Interdisciplinary Centers affiliated to the Vice-Presidency for Innovation.
Since May 2017, he also holds the position of Vice-President of the EPFL Innovation Park Foundation.
Since mid-2018, he acts as the EPFL’s representative in the Board of Switzerland Innovation Network West EPFL (an innovation-driven network composed of 6 innovation poles in Western Switzerland).
Some other activities and affiliations of Michaël Thémans include:
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Scientific consulting for various private companies and national agencies in Switzerland and in France.
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Business Development and Fund Raising for various EPFL's startups and spin-offs.
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Strategic Business Development Advisor for BestMile SA.
Since May 2012, in parallel to his main activity at EPFL, he is partner and Chief Business Development Officer at "6T - Bureau de Recherche", an EPFL's spin-off specialized in mobility analysis.
His main scientific expertise is in the design, development and applications of demand models and optimization algorithms, which he successfully used during ten years in transportation, food and marketing contexts. He also has a significant experience in market research and consumer understanding. He also has a strong experience in the transportation demand analysis and in the modeling/optimization/simulation of complex transportation systems.
During the years 2010-2014, he has acquired a global knowledge and expertise in transportation thanks to the operational and strategic management of EPFL's Transportation Center (TraCE) which gathers all EPFL's laboratories related to transportation and mobility.
He has also developed over the past seven years a strong experience and expertise in large-scale project management, people management, business development and technology transfer from research to business, with a strong focus on partnerships between academia and Large Enterprises in Switzerland and abroad. Claudia Rebeca Binder SignerClaudia R. Binder, a Swiss, Canadian and Colombian citizen, was born in Montreal and spent most of her childhood in Switzerland and Colombia. She studied at ETH Zurich from 1985 to 1996, earning a degree in biochemistry and then a PhD in environmental sciences. After conducting her post-doctoral research at the University of Maryland in the US from 1996 to 1998, she returned to Switzerland and took a position as a senior research scientist at ETH Zurich, studying the interaction between human and environmental systems at the Institute for Natural and Social Science Interface. In 2006, Binder joined the University of Zurich as an assistant professor in the Department of Geography, and in 2009 moved to the University of Graz in Austria where she served as a full professor of systems science. In 2011, she took a position at the University of Munich’s Department of Geography as a full professor of human-environment relations.
Binder joined EPFL in March 2016 and set up the Laboratory for Human-Environment Relations in Urban Systems (HERUS) at ENAC; she also holds the La Mobilière Chair on Urban Ecology and Sustainable Living.
Her research involves analyzing, modelling and assessing the transition of urban systems towards sustainability. She looks in particular at how we can better understand the dynamics of urban metabolism, what characterizes a sustainable city, and what drives and hinders transformation processes. She does so by combining knowledge from social, natural and data science. Her research focuses on food, energy, and sustainable living and transport in urban systems.
In Switzerland, Binder was appointed to the Research Council, Programs Division of the Swiss National Science Foundation (SNSF) in 2016 and serves on the Steering Committee of the SNSF’s National Research Program 71, “Managing Energy Consumption” and the Swiss Competence Centers for Energy Research (SCCER). She is also a member of the Steering Board on Sustainability Research for the Swiss Academies of Arts and Sciences. In 2019, she was elected as a member of the University Council of the University of Munich (LMU).
At EPFL, Binder is the academic director of Design Together, a cross-disciplinary teaching initiative. She was appointed to the management team of the Energy Center in 2018 and as head of the working group on EPFL’s energy and sustainability strategy in 2019.
Stephan MorgenthalerACADEMIC POSITIONS
Professor of Applied Statistics, EPFL, 1988-present
Associate Professor of Statistics, Yale University, 1987-1988
Assistant Professor of Statistics, Yale University, 1983-1987
Instructor of Mathematics, Massachusetts Institute of Technology, 1983-1984
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
