Pierre DillenbourgAncien instituteur primaire, Pierre Dillenbourg obtient un master en Sciences de lEducation (Université de Mons, Belgique). Dans son projet de master en 1986, il est l'un des premiers au monde à appliquer les méthodes de 'machine learning' à l'éducation, afin de développer un 'self-improving teaching system'. Ceci lui permettra de débuter une thèse de doctorat en informatique à l'Université de Lancaster (UK) dans le domaine des applications éducatives de lintelligence artificielle. Il a été Maître dEnseignement et de Recherche à lUniversité de Genève. Il rejoint l'EPFL en 2012, où Il fut le directeur du Centre de Recherche sur l'Apprentissage, la formation et ses technologies(CRAFT), puis académique du Centre pour l'Education à l'Ere Digitale (CEDE) qui met en oeuvre la stratégie MOOC de l'EPFL (plus de 2 millions d'inscriptions). Il est actuellement professeur ordinaire en technologies de formation aux sein de la faculté Informatique et Communications et dirige laboratoire d'ergonomie éducative (CHILI). Depuis 2006, il a aussi été le directeur de DUAL-T, la 'leading house' dédiée aux technologies pour les systèmes de formation professionnelle duale. Il a fondé plusieurs start-ups dans l'éducation et rejoint plusieurs conseils d'administration. En 2017, Il a créé avec des collègues le 'Swiss EdTech Collider', un incubateur qui rassemble 80 start-ups dans le domaine des technologies éducatives. En 2018, ils ont lancé LEARN, le centre EPFL pour les sciences de l'apprentissage, lequel regroupe les initiatives locales en innovation éducative. Pierre est un 'inaugural fellow of the International Society of Learning Sciences'. Il est actuellement le Vice-Président Associé pour l'Education à l'EPFL.
Maria del Carmen Sandi PerezACADEMIC POSITION:
Professor, Director of the Laboratory of Behavioral Genetics, Brain Mind Institute, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland.
EDUCATION:
BS MS Salamanca, Spain, 1984
PhD Cajal Institute, CSIC, and University Autonoma of Madrid, Spain, 1988
PROFESSIONAL EXPERIENCE:
Postdoc at INSERM, Bordeaux, France, and Cajal Institute Madrid, Spain, 1989-1990
Postdoc at the Open University, UK, 1991-1992, 1996
Research Associate, Cajal Institute, CSIC, Madrid, 1993-1995
Associate Professor Tenured, UNED University, Madrid, 1996-2003
Sabbatical Professor, University of Bern, Switzerland, 2002-2003
Assistant Professor Tenure-Track, EPFL, 2003-2007
Associate Professor Tenured, EPFL, 2007-2012
Full Professor, EPFL, 2012-
Director, Brain Mind Institute, EPFL, 2012-
PRINCIPAL BOARDS:
President, European Brain and Behavior Society (EBBS), 2009-2012
Editor-in-Chief Frontiers in Behavioral Neuroscience
Member of Scientific Advisory Panel, European College Neuropsychopharmacology (ECNP)
Member of the European Dana Alliance for the Brain (EDAB)
Associate Editor Frontiers in Neuroscience
Editorial Board Member Neurobiology of Learning and Memory
Editorial Board Member Journal of Psychiatry Research
Editorial Board Member Stress
Editorial Board Member Biology of Mood and Anxiety Disorders
Editorial Board Member Neuroscience and Biobehavioral Reviews
Jean-Philippe ThiranJean-Philippe Thiran was born in Namur, Belgium, in August 1970. He received the Electrical Engineering degree and the PhD degree from the Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium, in 1993 and 1997, respectively. From 1993 to 1997, he was the co-ordinator of the medical image analysis group of the Communications and Remote Sensing Laboratory at UCL, mainly working on medical image analysis. Dr Jean-Philippe Thiran joined the Signal Processing Institute (ITS) of the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in February 1998 as a senior lecturer. He was promoted to Assistant Professor in 2004, to Associate Professor in 2011 and is now a Full Professor since 2020. He also holds a 20% position at the Department of Radiology of the University of Lausanne (UNIL) and of the Lausanne University Hospital (CHUV) as Associate Professor ad personam. Dr Thiran's current scientific interests include
Computational medical imaging: acquisition, reconstruction and analysis of imaging data, with emphasis on regularized linear inverse problems (compressed sensing, convex optimization). Applications to medical imaging: diffusion MRI, ultrasound imaging, inverse planning in radiotherapy, etc.Computer vision & machine learning: image and video analysis, with application to facial expression recognition, eye tracking, lip reading, industrial inspection, medical image analysis, etc.
Johannes GräffAcademic appointments
2013- Tenure Track Assistant Professor, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, School of Life Sciences, Brain Mind Institute.
2009-2013 Postdoctoral fellow, Massachusetts Institute of Technology (MIT), Cambridge, USA, Picower Institute for Learning and Memory.
2009 Postdoctoral associate, Swiss Federal Institute of Technology (ETHZ), Zürich, Switzerland, Brain Research Institute.
Education
2009 PhD in Neurosciences, Swiss Federal Institute of Technology (ETHZ), Zürich, Switzerland, Department of Biology, Brain Research Institute.
2005 Diploma (M.Sc. equivalent) in Biological Sciences, University of Lausanne, Switzerland, Faculty of Biology and Medicine, Department of Ecology and Evolution.
1998 Matura, Gymnasium Type B, Kantonsschule am Burggraben St. Gallen, Switzerland.
