Romain GuietExpertise
Development of BioImage Analysis workflows and algorithms to extract quantitative data from microscopy images.BioSample Preparation : in vitro cell, organoid, time-lapse, fixation, staining strategies, actin, mitochondria, fluorescent protein expressionBioImage Acquisition : Widefield, Confocal, Whole Slide Imaging, Super-resolution (SIM, STORM, STED), FRET, FRAP, FLIMBioImage Analysis: Colocalisation analysis, Deconvolution, Time-lapse , Whole Slide ImagingTools & Software: ImageJ/Fiji, QuPath, i
Francesco VarratoEnseignement et PhD Cours Hands-on with Research Data Management in Chemistry ChE-601 Research skills in the Open Science Era CIVIL-608
Gioele La MannoEnseignement et PhD Doctorant·es actuel·les Albert Dominguez Mantes, Xinyi Huang, Laura Lapeña Gil, Alessandro Valente, Luca Fusar Bassini, Hao-An Hsiung, Alireza Gargoorimotlagh, Morgane Alice Storey, Rosan Martine Hans, María Cristina Loureiro Casalderrey, Lada Polyakova A dirigé les thèses EPFL de Alex Russell Lederer, Irina Khven A co-dirigé les thèses EPFL de Alexandre Coudray, Alex Russell Lederer, Halima Hannah Emilie Schede, Irina Khven Cours Biological data science I: statistical learning
Barbara GalimbertiExpertise
Archivistique, gestion des collections et sciences de l’information appliquées aux archives d’architecture et aux collections patrimoniales et de recherche, au sein des Archives de la construction moderne (ACM) de l’École polytechnique fédérale de Lausanne. Description archivistique normalisée, structuration et gouvernance des métadonnées, diffusion des instruments de recherche et développement d’infrastructures numériques pour la conservation et l’accès à long terme (Morphé / AtoM + Archivematica
Olivier VerscheureEnseignement et PhD Cours Data science pour ingénieurs avec Python ENG-209 Ce cours propose une immersion progressive et complète dans le domaine de la Data Science à travers le langage Python. Il guide les étudiants depuis la manipulation de données brutes jusqu'à la modélisation et l'extraction de connaissances utiles à partir de données réelles. Large-scale data science for real-world data COM-490 Ce cours pratique couvre outils et méthodes des data scientists, de la reche
Johan AuwerxEnseignement et PhD Doctorant·es actuel·les Wenyu Liu, Maria Boulougouri, Giacomo Vincenzo Giorgio Von Alvensleben A dirigé les thèses EPFL de Pénélope Andreux, Mitsunori Nomura, Evan Graehl Williams, Hongbo Zhang, Virginija Jovaisaite, Elena Katsyuba, Karim Laurent Gariani, Adrienne Joëlle Laurence Mottis, Hao Li, Peiling Luan, Alexis Bachmann, Mario Romani, Xiaoxu Li, Alessia De Masi, Amélia Lalou A co-dirigé les thèses EPFL de Serge Thanh Son Ducommun, Laura Lukjanenko, Joanna Ratajczak, Angélique Sato
Berend SmitEnseignement et PhD Doctorant·es actuel·les Anastasia Blokhina, Raluca-Ana Kessler, Seyed Amirmohammad Elahi, Juliette Veronique Schleicher, Yutao Li, Xin Jin, Sara Bassetta, Beatriz Bueno Mouriño A dirigé les thèses EPFL de Samantha Lynn Anderson, Daniele Ongari, Andrzej Gladysiak, Seyedmohamad Moosavi, Arunraj Chidambaram, Bardiya Valizadeh, Stavroula Kampouri, Fatmah Ebrahim, Fatma Pelin Uran, Andres Adolfo Ortega Guerrero, Kevin Maik Jablonka, Elias Moubarak, Sauradeep Majumdar, Miriam Jasmin Pougin,
Luc PatinyExpertise
Cheminformatics, Data management, Data processing, Javascript developmentLast updated on April 16, 2023.
GitHub
https://github.com/lpatiny
Enseignement et PhD Cours Analyse structurale (pour SFU) UNIL-129 Acquisition des notions fondamentales liées à l'identification de la structure de petites molécules organiques au moyen des techniques de spectrométrie de masse, spectroscopie infra-rouge et résonance magnétique nucléaire. Basic and advanced NMR - Level 1 A (EPFL) CH-60 Chiara GabellaEnseignement et PhD Cours Hands-on with Research Data Management in Chemistry ChE-601
Denis GilletDenis Gillet received the Diploma in Electrical Engineering from the Swiss Federal Institute of Technology in Lausanne (EPFL) in 1988, and the Ph.D. degree in Information Systems also from the EPFL in 1995. During 1992 he was appointed as Research Fellow at the Information Systems Laboratory of Stanford University in the United States. He is currently Maître d'enseignement et de recherche at the EPFL School of Engineering, where he leads the React research group. His current research interests include Technologies Enhanced Learning (TEL), Human Computer Interaction (HCI), Human Devices Interaction (HDI) and Optimal Coordination of Complex and Distributed Systems. Denis Gillet is affiliated at EPFL with the Center for Intelligent Systems and the Center for Digital Education.
David Atienza AlonsoDavid Atienza Alonso is an associate professor of EE and director of the Embedded Systems Laboratory (ESL) at EPFL, Switzerland. He received his MSc and PhD degrees in computer science and engineering from UCM, Spain, and IMEC, Belgium, in 2001 and 2005, respectively. His research interests include system-level design methodologies for multi-processor system-on-chip (MPSoC) servers and edge AI architectures. Dr. Atienza has co-authored more than 350 papers, one book, and 12 patents in these previous areas. He has also received several recognitions and award, among them, the ICCAD 10-Year Retrospective Most Influential Paper Award in 2020, Design Automation Conference (DAC) Under-40 Innovators Award in 2018, the IEEE TCCPS Mid-Career Award in 2018, an ERC Consolidator Grant in 2016, the IEEE CEDA Early Career Award in 2013, the ACM SIGDA Outstanding New Faculty Award in 2012, and a Faculty Award from Sun Labs at Oracle in 2011. He has also earned two best paper awards at the VLSI-SoC 2009 and CST-HPCS 2012 conference, and five best paper award nominations at the DAC 2013, DATE 2013, WEHA-HPCS 2010, ICCAD 2006, and DAC 2004 conferences. He serves or has served as associate editor of IEEE Trans. on Computers (TC), IEEE Design & Test of Computers (D&T), IEEE Trans. on CAD (T-CAD), IEEE Transactions on Sustainable Computing (T-SUSC), and Elsevier Integration. He was the Technical Program Chair of DATE 2015 and General Chair of DATE 2017. He served as President of IEEE CEDA in the period 2018-2019 and was GOLD member of the Board of Governors of IEEE CASS from 2010 to 2012. He is a Distinguished Member of ACM and an IEEE Fellow.
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)
Didier TronoAprès des études de médecine à l’Université de Genève et une formation clinique en pathologie, médecine interne et maladies infectieuses à Genève et au Massachusetts General Hospital de Boston, Didier Trono s’engage dans une carrière scientifique au Whitehead Institute du MIT. En 1990, il est recruté par le Salk Institute de San Diego pour lancer un centre de recherche sur le SIDA. Il rentre en Europe sept ans plus tard, avant de prendre en 2004 les rênes de la toute nouvelle faculté des Sciences de la Vie de l’EPFL, dont il orchestre le développement et qu’il dirige jusqu’en 2012. Il participe aujourd’hui activement à la coordination des efforts de la Suisse en vue de l’intégration des nouvelles technologies dans le domaine de la médecine de précision et de la santé personnalisée.
Alexandre Massoud AlahiAlexandre Alahi is currently an Assistant Professor at EPFL. He spent five years at Stanford University as a Post-doc and Research Scientist after obtaining his Ph.D. from EPFL. His research enables machines to perceive the world and make decisions in the context of transportation problems and smart environments. He has worked on the theoretical challenges and practical applications of socially-aware Artificial Intelligence, i.e., systems equipped with perception and social intelligence. He was awarded the Swiss NSF early and advanced researcher grants for his work on predicting human social behavior. He won the CVPR Open Source Award (2012) for his work on Retina-inspired image descriptors, and the ICDSC Challenge Prize (2009) for his sparsity-driven algorithm that has tracked more than 100 million pedestrians to date. His research has been covered internationally by BBC, abc, PBS, Euronews, Wall street journal, and other national news outlets around the world. Alexandre has also co-founded multiple startups such as Visiosafe, and won several startup competitions. He was elected as one of the Top 20 Swiss Venture leaders in 2010.
Stéphane JoostPublications Publications- List of publications
Enseignement et PhD Doctorant·es actuel·les Marco André Vieira Ruas, Manon Laetitia Pribille, Martine Valérie Besse A dirigé les thèses EPFL de Estelle Rochat, Solange Catherine Gaillard, Oliver Michele Selmoni, Anaïs Ladoy, Annie Sandrine Guillaume A co-dirigé les thèses EPFL de Sylvie Stucki, Kevin Leempoel, Martí Bosch Padrós, Andrea Salmi Cours Border Forensics PENS-318 Le cours présentera aux étudiants différentes formes de violence liée
