Pierre VogelProfessional positions:
P. Vogel was born in Cully (Switzerland) Oct. 23, 1944. In 1969, he did his Ph.D Award under supervision of Prof. H. Prinzbach at the Institute of Organic Chemistry, University of Lausanne. After finishing his Ph.D in 1969, he did post-doctoral research at Yale University, New Haven, Connecticut, USA with Prof. Martin Saunders; research associate with Prof. J. A. Berson, K. A. Wiberg and P.v.R. Schleyer (Princeton Universtiy). From 1971 he worked as a Research chemist at Syntex S.A., in Mexico with Prof. P.Crabbé before he returned to the University of Lausanne in 1972. As of 1977 he became Professor of organic chemistry at the University of Lausanne. In 1991 he was Vice-Chairman of the Institute of organic Chemistry, University of Lausanne until 2001. Then he was Part-time grad.school teacher at the Universitites of Rouen and Caen from 1991 to 1993 and Part-time professor at Ecole Polytechnique de Palaiseau from 1993-2000. From 2000-2001 he was reviewer of the "Institut Universitaire de France" and as of 2001 Professor of organic chemistry at the EPFL.
Degrees and distincions
1969 Ph.D, University of Lausanne
1976 Swiss Chemical Society Award, Werner Medal
1973-now Member of the Swiss Chemical Society, of the American Chemical
Society and "Société Française de Chimie"
1984-1989 IOCD adviser
1988-1989 Associate Professor of Organic Chemistry at Ecole Normale
Supérieure, Paris
1989-2000 Member of the Swiss National Council of Research
1991-1992 Associate Professor of Organic Chemistry, University of Paris VI
1992 Pacific Coast Lecturer (USA)
1992-1993 Associate Professor at the Université de Montpellier, France
1993 Associate Professor, Université Paris Sud, Orsay
1993-1997 Swiss co-ordinator of the European COST D2 research program
1994 (spring) Associate Professor, ESPCI, Paris
1997 President of the european COST D2 management committee
1999 Coordinator of the european COSRD13
2001-now Member of the "Conseil Scientifique du Département des Sciences
Chimiques", CNRS
2002-2003 Novartis Lectureship
2004-2005 Boehringer INgelheim Distinguished Lecturer
Mathieu SalzmannI am a Senior Researcher at EPFL-CVLab, and, since May 2020, an Artificial Intelligence Engineer at ClearSpace (50%). Previously, I was a Senior Researcher and Research Leader in NICTA's computer vision research group. Prior to this, from Sept. 2010 to Jan 2012, I was a Research Assistant Professor at TTI-Chicago, and, from Feb. 2009 to Aug. 2010, a postdoctoral fellow at ICSI and EECS at UC Berkeley under the supervision of Prof. Trevor Darrell. I obtained my PhD in Jan. 2009 from EPFL under the supervision of Prof. Pascal Fua.
Jan Sickmann HesthavenProf. Hesthaven received an M.Sc. in computational physics from the Technical University of Denmark (DTU) in August 1991. During the studies, the last 6 months of 1989 was spend at JET, the european fusion laboratory in Culham, UK. Following graduation, he was awarded a 3 year fellowship to begin work towards a Ph.D. at Riso National Laboratory in the Department of Optics and Fluid Dynamics. During the 3 years of study, the academic year of 1993-1994 was spend in the Division of Applied Mathematics at Brown University and three 3 months during the summer of 1994 in Department of Mathematics and Statistics at University of New Mexico. In August 1995, he recieved a Ph.D. in Numerical Analysis from the Institute of Mathematical Modelling (DTU). Following graduation in August 1995, he was awarded an NSF Postdoctoral Fellowship in Advanced Scientific Computing and was approinted Visiting Assistant Professor in the Division of Applied Mathematics at Brown University. In December of 1996, he was appointed consultant to the Institute of Computer Applications in Science and Engineering(ICASE) at NASA Langley Research Center (NASA LaRC). As of July 1999, he was appointed Assistant Professor of Applied Mathematics, in September 2000 he was awarded an Alfred P. Sloan Fellowship, as of July 2001 he was awarded a Manning Assistant Professorship, and in March 2002, he was awarded an NSF Career Award. In January 2003, he was promoted to Associate Professor of Applied Mathematics with tenure and in May 2004 he was awarded Philip J. Bray Award for Excellence in Teaching in the Sciences (the highest award given for teaching excellence in all sciences at Brown University). He was promoted to Professor of Applied Mathematics as of July 2005. From October 2006 to June 2013, he was the Founding Director of the Center for Computation and Visualization (CCV) at Brown University. As of October 2007, he holds the (honorary) title of Professor (Adjunct) at the Technical University of Denmark. In November 2009, he successfully defended his dr.techn thesis at the Technical University of Denmark and was rewarded the degree of Doctor Technices -- the highest academic distinction awarded based on ... substantial and lasting contributions that has helped to move the research area forward and penetrated into applications. As grant Co-PI he served from Aug 2010 to June 2013 as Deputy Director of the Institute of Computational and Experimental Research in Mathematics (ICERM), the newest NSF Mathematical Sciences Research Institute. After having spend his entire academic career at Brown University, Prof Hesthaven decided to pursue new challenges and joined the Mathematics Institute of Computational Science and Engineering (MATHICSE) at Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland in July 2013. In March 2014 he was elected SIAM Fellow for contributions to high-order methods for partial differential equations.
Nicolas Henri Bernard FlammarionNicolas Flammarion is a tenure-track assistant professor in computer science at EPFL. Prior to that, he was a postdoctoral fellow at UC Berkeley, hosted by Michael I. Jordan. He received his PhD in 2017 from Ecole Normale Superieure in Paris, where he was advised by Alexandre d’Aspremont and Francis Bach. In 2018 he received the prize of the Fondation Mathematique Jacques Hadamard for the best PhD thesis in the field of optimization. His research focuses primarily on learning problems at the interface of machine learning, statistics and optimization.
