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
Wouter Richard KarthausEnseignement et PhD Doctorant·es actuel·les Jillian Rose Love, Estelle Deby, Ester Simkova, Turan Badalli Cours Cellular and molecular biology II BIO-207 Ce cours est destiné à familiariser les étudiants avec l'organisation 3-dimensionnelle d'une cellule eucaryote, sa compartimentalisation, comment des compartiments communiquent entre eux et comment une cellule communique avec son environment. Les mécanismes moléculaires sous jascents seront abordés. Practical - Karthaus Lab BIO-
Mats Julius StensrudEnseignement et PhD Doctorant·es actuel·les Ignacio Gonzalez Perez, Gellért Géza Perényi, Lorenzo Gasparollo, Julien David Laurendeau A dirigé les thèses EPFL de Matias Janvin, Amit Sawant Cours Causal thinking MATH-352 Ce cours donnera une présentation unifiée des méthodes modernes d'inférence causale. Nous nous concentrons sur les concepts, et nous présenterons des exemples et des idées provenant de diverses disciplines scientifiques, notamment la médecine, l'informatique, l'ingénierie,
Athanasios NenesEnseignement et PhD Doctorant·es actuel·les Berkay Dönmez, Ernest Abboud A dirigé les thèses EPFL de Paraskevi Georgakaki, Lucile Ricard Cours Atmospheric processes: from cloud to global scales ENV-407 L'objectif principal est de voir les processus atmosphériques les plus importants de l'échelle locale à l'échelle globale. Le cours démarrera avec les processus nuageux, continuera avec les phénomènes synoptiques comme les cyclones extratropicaux et fronts, pour finir par la modélisation num
Milena Maria SchuhmacherEnseignement et PhD Doctorant·es actuel·les Mélissa Ruiz, Gary Domeniconi, Linda Wedemann Cours Chemical Biology Seminar Series 1 CH-635 Chemical Biology Seminar Series 2 CH-636 Chemical Biology Seminar Series 3 CH-637 Practical - Schuhmacher Lab BIO-618
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.
Alexandre Louis André PersatExpertise
MicrobiologyTissue EngineeringInfectious diseasesBiomechanicsMechanobiologyBiophysicsFluid dynamics
Enseignement et PhD Doctorant·es actuel·les Jann Lukas Ledergerber, Dea Mariette Müller, Marin Paul Geoffroy Marie Ollagnon, Han-Yi Huang, Alice Pellegrino, Shiro Otaki, Chia-Ni Tsai, Po-Long Hsiao A dirigé les thèses EPFL de Lorenzo Anton-Louis Talà, Xavier Pierrat, Tamara Rossy, Alice Cont, Jeremy Wong, Sourabh Monnappa Kuppanda Jafri, Tania Distler A co-dirigé les thèses EPFL de Gabriele Gambar
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.
Du WenEducation PhD | Doctor of Philosophy, Mechanical Engineering 2020 – 2023 The University of Tokyo MEng | Master of Engineering, Power Engineering and Engineering Thermophysics 2016 – 2019 Xi’an Jiaotong University Bsc | Bachelor of Engineering 2012 – 2016 Xi’an Jiaotong University
