Didier TronoAfter obtaining an M.D. from the University of Geneva and completing a clinical training in pathology, internal medicine and infectious diseases in Geneva and at Massachusetts General Hospital in Boston, Didier Trono embarked in a scientific career at the Whitehead Institute for Biomedical Research of MIT. In 1990, he joined the faculty of the Salk Institute for Biological Studies to launch a center for AIDS research. He moved back to Europe seven years later, before taking the reins of the newly created EPFL School of Life Sciences, which he directed from 2004 to 2012. He is now actively engaged in the efforts of Switzerland to integrate new technologies in the fields of precision medicine and personalized health.
Stewart ColeProfessor Stewart Cole is an international authority in bacterial molecular-genetics and genomics. He has made outstanding contributions in several fields including: bacterial anaerobic electron transport; genome analysis of retroviruses and papillomaviruses; antibiotic resistance mechanisms; and the molecular microbiology of toxigenic clostridia. His studies on isoniazid and multidrug resistance in Mycobacterium tuberculosis, together with his pioneering work on the pathogenicity, evolution and genomics of the tubercle and leprosy bacilli, have made him an undisputed leader in the field of mycobacterial research. The findings of his research are of direct relevance to public health and disease-control in both the developing world and the industrialised nations. He has published over 250 scientific papers and review articles, and holds many patents.
Li TangEducation and Training Postdoctoral Fellow, Massachusetts Institute of Technology, 2013 - 2016 Ph.D., University of Illinois at Urbana-Champaign, 2007 - 2012 B.S., Peking University, 2003-2007
Dominique PiolettiDominique Pioletti received his Master in Physics from the Swiss Federal Institute of Technology Lausanne (EPFL) in 1992. He pursued his education in the same Institution and obtained his PhD in biomechanics in 1997. He developed original constitutive laws taking into account viscoelasticity in large deformations. Then he spent two years at UCSD as post-doc fellow acquiring know-how in cell and molecular biology. He was interested in particular to gene expression of bone cells in contact to orthopedic implant. In April 2006, Dominique Pioletti was appointed Assistant Professor tenure-track at the EPFL and is director of the Laboratory of Biomechanical Orthopedics. His research topics include biomechanics and tissue engineering of musculo-skeletal tissues; mechano-transduction in bone; development of orthopedic implant as drug delivery system. Since 2013, he has been promoted to the rank of Associate Professor.
Alexandre TerrierExpertise
BiomechanicsJoint biomechanicsMecano-biologyOrthopaedic researchPatient-specific modellingContinuum mechanicsFinite Element AnalysisExperimental testingStatistical analyses
Expertise
BiomechanicsJoint biomechanicsMecano-biologyOrthopaedic researchPatient-specific modellingContinuum mechanicsFinite Element AnalysisExperimental testingStatistical analyses
Mission
Develop patient-specific models of human joints and their replacement, in parallel with a database of patients, in order to test statistic
Camille Véronique Bernadette GoemansCamille's research focuses on understanding how antibiotics and non-antibiotic drugs affect the diverse bacteria from the human gut microbiota and how they contribute to dysbiosis and the development of antibiotic resistance. To achieve this goal, she combines systems approaches with molecular microbiology, bacterial genetics and biochemistry.She obtained her Bachelor's and Master's degrees in Biomedical Sciences from the UCLouvain, Belgium, after which she completed her PhD (FRIA national fellowship) at th
Francesco StellacciFrancesco Stellacci graduated in Materials Engineering at the Politecnico di Milano in 1998 with a thesis on photochromic polymers with Prof. Giuseppe Zerbi and Mariacarla Gallazzi. In 1999 he moved to the Chemistry Department of the University of Arizona for as a post-doc in the group of Joe Perry in close collaboration with the group of Seth Marder. In 2002 he moved to the Department of Materials Science and Engineering at the Massachusetts Institute of Technology as an assistant professor. He was then promoted to associate without (2006) and with tenure (2009). In 2010 he moved to the Institute of Materials at EPFL as a full Professor. He holds the Alcan EP Chair. Francesco was one of the recipients of the Technology Review TR35 "35 Innovator under 35" award in 2005, and the Popular Science Magazine "Brilliant 10" award in 2007. He has been a Packard Fellow starting 2005.
Quy Ong KhacExpertise
Nanoparticle characterizationSurface and interface scienceAnalytical ultracentrifugationCryogenic electron tomographyScanning tunneling microscopy
Current Work
Cryogenic Transmission Electron Tomography (Cryo-ET): Developed Cryo-ET methods as quantitative thermodynamic tools. Studied interaction potentials and other thermodynamic properties of nanoparticles and proteins. Key publications: Ong Q. et al. Materials Horizons, 2022Ekaterina P., Ong, Q. et al. ACS Nano, 2026Analytical Ultracentrifugatio
Alexander MathisAlexander studied pure mathematics with a minor in logic and theory of science at the Ludwig Maximilians University in Munich. For his PhD also at LMU, he worked on optimal coding approaches to elucidate the properties of grid cells. As a postdoctoral fellow with Prof. Venkatesh N. Murthy at Harvard University and Prof. Matthias Bethge at Tuebingen AI, he decided to study olfactory behaviors such as odor-guided navigation, social behaviors and the cocktail party problem in mice. During this time, he increasingly got interested sensorimotor behaviors beyond olfaction and started working on proprioception, motor adaption, as well as computer vision tools for measuring animal behavior.
In his group, he is interested in elucidating how the brain gives rise to adaptive behavior. One of the major goals is to synthesize large datasets into computationally useful information. For those purposes, he develops algorithms and systems to analyze animal behavior (e.g. DeepLabCut), neural data, as well as creates experimentally testable computational models.
Bernard SchneiderTeaching & PhD PhD Students Yesica Gloria, Christian Schellhaas Past EPFL PhD Students Vanessa Laversenne, Sameer Mohammad Khaleel Nazeeruddin, Emma Charlotta Källstig Past EPFL PhD Students as codirector Philippe Guillaume Coune, Emilda Pino, Elisabeth Anne Dirren, Aurélien Lathuilière, Wojciech Janusz Bobela, Lu Zheng, Cylia Cloé Rochat Courses Methods: from disease models to therapy BIOENG-518 This course will describe methods underlying translational approaches from disease modeling an
Paul Joseph DysonPaul Dyson joined the Institute of Chemical Sciences and Engineering at the EPFL in 2002 where he heads the Laboratory of Organometallic and Medicinal Chemistry and between 2008 and 2016 chaired the Institute. He has won several prizes including the Werner Prize of the Swiss Chemical Society in 2004, the Award for Outstanding Achievements in Bioorganometallic Chemistry in 2010, the Centennial Luigi Sacconi Medal of the Italian Chemical Society in 2011, the Bioinorganic Chemistry Award of the Royal Society of Chemistry in 2015, the European Sustainable Chemistry Award of the European Chemical Society in 2018 and the Green Chemistry Award from the Royal Society of Chemistry in 2020. He is also a Clarivate Highly Cited Researcher and has an H-index >110 (web of science and google scholar). He was elected a Fellow of the Royal Society of Chemistry in 2010, a Fellow of the European Academy of Science in 2019 and a life-long fellow of the American Association for the Advancement of Science in 2020. Over the years he has held visiting professorships at the University of Bourgogne, University of Pierre et Marie Curie, University of Vienna, University of Rome Tor Vergara, Chimie Paristech and Shangai Jiao Tong University.Since 2016 he has been Member of the Council of the Division of Mathematics, Natural and Engineering Sciences at the Swiss National Science Foundation.Between 2016-2021 he has been Member of the Council of the Division of Mathematics, Natural and Engineering Sciences at the Swiss National Science Foundation. In 2021 he was appointed Dean of the Faculty of Basic Sciences.
Daniel SageExpertise
PublicationsPublications
Coordinates Biomedical Imaging GroupAddressEPFL STI-IMT-LIB, BM 4.135, Station 17, CH-1015 Lausanne, SwitzerlandTel.+41 21 693 51 89Fax.+41 21 693 68 10Emaildaniel.sage@epfl.chWeb pagehttp://bigwww.epfl.ch/sage/OfficeBM 4.135
Teaching & PhD Past EPFL PhD Students as codirector Daniel Andreas Schmitter, Anaïs Badoual, Laurène Donati Courses Bioimage informatics BIO-410 The course provides a comprehensive overview of methods, algorithms, and computer tools us Maria BrbicMaria Brbic is an assistant professor in computer science at EPFL. Prior to joining EPFL, Maria was a postdoctoral researcher in Computer Science at Stanford University working with Jure Leskovec. She received her PhD degree from University of Zagreb in 2019, while also researching at Stanford University and University of Tokyo. Her research was awarded with the Fulbright Scholarship, L’Oreal UNESCO for Women in Science Scholarship, Branimir Jernej award for outstanding publication in biology and biomedicine, and Josip Loncar Silver Plaque award for the best doctoral dissertation. She has been named a Rising Star in EECS by MIT in 2021. Her research is focused on developing new machine learning methods and applying her methods to advance biomedical research.
Wouter Richard KarthausTeaching & PhD PhD Students Jillian Rose Love, Estelle Deby, Ester Simkova, Turan Badalli Courses Cellular and molecular biology II BIO-207 This course is aimed to familiarize students with the 3D organization of a eukaryotic cell, its compartmentalization, how cellular compartments communicate together and how a cell communicates with its environment. The related molecular mechanisms will be discussed. Practical - Karthaus Lab BIO-616 Students will learn 1) how organoids c
