Guido HaefeliEnseignement et PhD Doctorant·es actuel·les Federico Ronchetti, Gauri Napoletano A co-dirigé les thèses EPFL de Axel Kuonen, Olivier Göran Girard, Carina Trippl Cours Particle detection PHYS-440 Introduction des différentes interactions des particules dans la matière. Différentes techniques de détection comme scintillateurs, détecteurs à gas, silicium, et détecteurs pour identification de particules.
Anne-Florence Raphaëlle BitbolI was trained in physics, and always had a strong interest in biology. I am broadly interested in understanding biological phenomena in a quantitative way, through physical concepts and mathematical and computational tools. I investigate the relative impacts of optimization and historical contingency in biological evolution, both at the scale of protein sequences and at the scale of microbial populations.Here is my research group website.Curriculum vitae Here is my complete CV. Professional experience:Since
Michaël UnserExpertise
Image Processing Medical Imaging Biological Imaging Wavelets Splines Multiresolution
Enseignement et PhD Doctorant·es actuel·les Youssef Haouchat, Vincent Patrick Lawrence Guillemet, Bassam El Rawas, Stanislas Ducotterd, Mehrsa Pourya, Zhiyuan Hu A dirigé les thèses EPFL de Stefan Horbelt, Jan Kybic, Maria Arrate Munoz Barrutia, Manuela Feilner, Slavica Jonic, Mathews Jacob, Michael Liebling, Michael Sühling, Muthuvel Arigovindan, François Aguet, Cédric Vonesch, Ildar Khalidov, Sathish Ramani, F
Christoph KochEnseignement et PhD Doctorant·es actuel·les Léonard Léchot, Zhekai Jiang, Hanbit Lee A dirigé les thèses EPFL de Immanuel Trummer, Aleksandar Vitorovic, Milos Nikolic, Daniel Lupei, Mohammed El Seidy, Ioannis Klonatos, Mohammad Dashti Rahmat Abadi, Amir Shaikhha, Lionel Parreaux, Sachin Basil John, Zilu Tian A co-dirigé les thèses EPFL de David Kozhaya Cours Making intelligent things A CS-358(a) Le cours vise à enseigner le prototypage d'artefacts physiques intelligents et à résoudre des d
Emma Elizabeth TolleyI studied the universe at the smallest scales at the Large Hadron Collider, now we're getting ready to study it at the largest scales with the Square Kilometer Array. My research focuses on developing high-performance computing and new data science techniques to image and analyse the radio sky.
Enseignement et PhD Doctorant·es actuel·les Markus Johan Bredberg, Ashutosh Kumar Mishra A co-dirigé les thèses EPFL de Shreyam Parth Krishna Cours Physique générale : mécanique (classe inversée en anglais)
Sofiane SarniEnseignement et PhD Cours Large-scale data science for real-world data COM-490 Ce cours pratique couvre outils et méthodes des data scientists, de la recherche de solutions à la mise à l'échelle de prototypes sur clusters Spark. Les étudiants explorent le pipeline complet d'ingénierie et science des données, de l'acquisition à l'extraction d'insights appliqués à des cas réels.
Allison Marie BurnsEnseignement et PhD Cours Bioinformatic Analysis of RNA-sequencing (Fall) BIO-693(a) Due to its success, this course will take place from 1st to 5th September 2025 in room AAC 0 20.It introduces the workflows and techniques that are used for the analysis of bulk and single-cell RNA-seq data. It empowers students to understand and analyze their own data. Bioinformatic Analysis of RNA-sequencing (Spring) BIO-693(b)
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).
Henry MarkramEnseignement et PhD Doctorant·es actuel·les Davide Bella A dirigé les thèses EPFL de Tania Rinaldi, Jean-Vincent Le Bé, Michele Pignatelli, Thomas Berger, Luca Gambazzi, Rodrigo de Campos Perin, Imad Riachi, Muhammad Asif Jan, Rajnish Ranjan, Srikanth Ramaswamy, Georges Khazen, Vincent Delattre, Mônica Favre, Shruti Muralidhar, Michael Reimann, Jean Pierre Ghobril, Renaud Luc Richardet, Marwan Abdellah, Willem Wybo, Csaba Erö, Lida Kanari, Giuseppe Chindemi, Berat Denizdurduran, Max Nolte, Taylor Howard N
Andy BushbyEnseignement et PhD Cours CCMX Advanced Course - Instrumented Nanoindentation MSE-656
Nicholas X. RandallEnseignement et PhD Cours CCMX Advanced Course - Instrumented Nanoindentation MSE-656
Edoardo ChiarottiEnseignement et PhD Cours Data Science & Causal Inference for Sustainability MGT-499 Ce cours explore les grands enjeux climatiques à travers les données. Les étudiants apprendront à les traiter, analyser et interpréter avec rigueur, à l'aide de Python, pour tirer des conclusions solides sur la durabilité et éviter les pièges courants.
Olga FinkEnseignement et PhD Doctorant·es actuel·les Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei A dirigé les thèses EPFL de Ismail Nejjar, Mengjie Zhao Cours Data Science for infrastructure condition monitoring CIVIL-332 Le cours couvrira les étapes pertinentes de la surveillance de l'état des infrastructures basée sur les données: l'acquisition des données, en passant p
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)
Giovanna AmbrosiniCurrent Position Senior Scientist, School of Life Sciences, Bioinformatics Competence Center, école Polythechnique Fédérale de Lausanne, Lausanne.Senior bioinformatician and software engineer with proven experience working in higher education institutions. Solid experience in scientific computing and web design. Proficient in physics and computational genomics, with a focus on high-throughput genomic sequencing data analysis (ChIP-seq, ATAC-seq, RNA-seq, scRNA-seq, and exome sequencing) and other types of
Mathias Benjamin ThoenigEnseignement et PhD Cours Economics for challenging times MGT-494 Ce cours analyse les grands enjeux socio-économiques -pauvreté, inégalités, changement climatique, mondialisation, migration, IA, etc.- et forme les étudiants aux méthodes quantitatives en économie empirique et à l'élaboration de solutions adaptées aux économies de marché.
Lesya ShchutskaEnseignement et PhD Doctorant·es actuel·les Elena De Santis, Yiyang Ding, Pierre Mayencourt, Spencer Collaviti, Raphaël van Laak, Zhibin Yang, Vasilisa Guliaeva, Anni Kauniskangas, Valerii Kholoimov A dirigé les thèses EPFL de Sara Celani, Serhii Cholak, Joanna Malgorzata Wanczyk, Mascellani Anna, Sonia Amina Bouchiba, Paul De Bryas Cours Particle physics II PHYS-416 Ce cours vise à familiariser les étudiants avec les principaux concepts de la physique des particules, en établissant un lie
