Nils Bastian SturmaEnseignement et PhD Cours Randomization and causation MATH-336 Ce cours couvre les cadres formels de l'inférence causale. Nous nous concentrons sur les plans d'expériences, les définitions des modèles causaux, l'interprétation des paramètres causaux et l'estimation des effets causaux.
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.
Quentin GalleaEnseignement 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. Economics for challenging times MGT-494 Ce cours analyse les grands enjeux socio-économiques -pauvreté, inégalités, changement climatique, mon
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,
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
Antoine BosselutAntoine Bosselut is an assistant professor at EPFL. He leads the EPFL NLP group, which conducts research on natural language processing (NLP) systems that can model, represent, and reason about human and world knowledge.
Prior to joining EPFL, he was a postdoctoral researcher at Stanford University working in the
SNAP
and
NLP
groups and a young investigator on the
Mosaic
project at the
Allen Institute for AI
. He completed his PhD at the University of Washington.
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.
Jérôme ChenalExpertise
UrbanismePlanification urbaineGestion urbaineProcessus d
Situation actuelle
Directeur du Centre "Excellence in Africa "Directeur de la CEATProfesseur affilié UM6P
Associations prof. et activités académiques Membre du Conseil d'administration de l'Université Senghor, Alexandrie (2025-2029)Directeur du Board of Directors de l'African Cities LabEditeur de l'African Cites JournalPrésident de la Biennale Africaine d'Architecture et d'urbanisme (BAAU)Médias Jérôme Chenal, la passion des villes et de l'A
Patrick ThiranPatrick Thiran is a full professor in network and systems theory at the School of Computer and Communication Sciences at EPFL. He holds an electrical engineering degree from the Université Catholique de Louvain, Louvain-la-Neuve, Belgium, an M.Sc. degree in electrical engineering from the University of California at Berkeley, USA, and he received the PhD degree from EPFL, in 1996. He became an adjunct professor in 1998, an assistant professor in 2002, an associate professor in 2006 and a full professor in 2011. He was with Sprint Advanced Technology Labs in Burlingame, California, in 2000-01.
His research interests are in communication and social networks, performance analysis and stochastic models. He is currently active in the analysis and design of wireless and PLC networks (scaling laws, medium access control), in network monitoring (network tomography, multi-layer networks), and data-driven network science. He also contributed to network calculus and to the theory of locally coupled neural networks and self-organizing maps.
He served as an associate editor for the IEEE Transactions on Circuits and Systems in 1997-99 and for the IEEE/ACM Transactions on Networking in 2006-10. He is currently on the editorial board of the IEEE Journal on Selected Areas in Communication. He is/was on the program committee of different conferences in networking, including ACM Sigcomm, Sigmetrics, IMC, CoNext and IEEE Infocom. He was TPC chair of AMC IMC 2011 and CoNext 2012. He is a Fellow of the Belgian American Educational Foundation and of the IEEE. He received the 1996 EPFL Doctoral Prize and the 2008 Crédit Suisse Teaching Award.
Alexandre TerrierEnseignement et PhD Doctorant·es actuel·les Mi-Lane Bouchez, Léa Pistorius A co-dirigé les thèses EPFL de Miguel Gortchacow, Adeliya Latypova, Christoph Anselm Engelhardt, Valérie Malfroy Camine, Yasmine Boulanaache, Pezhman Eghbalishamsabadi Cours Engineering of musculoskeletal system and rehabilitation BIO-687 Numerical methods in biomechanics ME-484 Les étudiants comprennent et appliquent les méthodes numériques (MEF) pour répondre à une question de recherche en biomécan
Jan SkaloudExpertise
Satellite positioning, inertial and integrated navigation Sensor orientation and calibration, attitude determination Mobile mapping, airborne laser scanning Adjustment methods, Kalman Filtering
Mission
Teaching in 3 EPFL sections and 2 faculties, director of ESO lab.
Books / Monographs J. Skaloud and M. Cramer, «Data Capture,» in GIS Handbook, W. Kresse and D. Danko, Eds. Springer, 2011. D. Lichti and J. Skaloud, «Registration and Calibration,» in Airborne and terrestrial laser scanning, H.-G. Ma
Linda MarchandEnseignement et PhD Cours Applied statistics MATH-516 Le cours présente un aperçu des défis quotidiens en statistique appliquée à travers des problèmes réels. Les étudiants vont utiliser les méthodes statistiques basiques et modernes, pour proposer des solutions reproductibles aux problèmes présentés. 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 work
Philippe MüllhauptExpertise
Commande non linéaireThéorie de la commandeMécanique généraleSystèmes dynamiquesStatistique
Mission
Offrir une formation technique et scientifique rigoureuse en commande non linéaire, en mécanique classique et en théorie statistique
Travail en cours
Chercheur et enseignant dans les domaines de l'automatique, la statistique, les systèmes dyanmiques et la mécanique classique.
E MSc. et BSc. en génie électrique (EPFL, 1993) DEA en Automatique et Traitement du Signal (Paris VI, 1994) PhD en Automa
Wulfram GerstnerWulfram Gerstner is Director of the Laboratory of Computational Neuroscience LCN at the EPFL. His research in computational neuroscience concentrates on models of spiking neurons and spike-timing dependent plasticity, on the problem of neuronal coding in single neurons and populations, as well as on the link between biologically plausible learning rules and behavioral manifestations of learning. He teaches courses for Physicists, Computer Scientists, Mathematicians, and Life Scientists at the EPFL. After studies of Physics in Tübingen and at the Ludwig-Maximilians-University Munich (Master 1989), Wulfram Gerstner spent a year as a visiting researcher in Berkeley. He received his PhD in theoretical physics from the Technical University Munich in 1993 with a thesis on associative memory and dynamics in networks of spiking neurons. After short postdoctoral stays at Brandeis University and the Technical University of Munich, he joined the EPFL in 1996 as assistant professor. Promoted to Associate Professor with tenure in February 2001, he is since August 2006 a full professor with double appointment in the School of Computer and Communication Sciences and the School of Life Sciences. Wulfram Gerstner has been invited speaker at numerous international conferences and workshops. He has served on the editorial board of the Journal of Neuroscience, Network: Computation in Neural Systems', Journal of Computational Neuroscience', and `Science'.
Pascal FrossardTeaching & PhD PhD Students Yiming Qin, Alba Carballo Castro, Elisa Messori, Ke Wang, Sevda Ögüt, Tuna Alikasifoglu, William Cappelletti, Manuel Madeira, Mahdi Amiri, Ortal Yona Senouf, Vasiliki Rizou, Cem Bilaloglu, Abdellah Rahmani, Amel Abdelraheem, Jérémy Jean Philippe Baffou, Adam Hazimeh, Vincent Jung, Yike Zhao Past EPFL PhD Students Dan Jurca, Jean-Paul Wagner, Ivana Radulovic, Ivana Tosic, Effrosyni Kokiopoulou, Zafer Arican, Vijayaraghavan Thirumalai, Tamara Tosic, Eirina Bourtsoulatze, Elif Vur
