Anthony Christopher DavisonAnthony Davison has published on a wide range of topics in statistical theory and methods, and on environmental, biological and financial applications. His main research interests are statistics of extremes, likelihood asymptotics, bootstrap and other resampling methods, and statistical modelling, with a particular focus on the first currently. Statistics of extremes concerns rare events such as storms, high winds and tides, extreme pollution episodes, sporting records, and the like. The subject has a long history, but under the impact of engineering and environmental problems has been an area of intense development in the past 20 years. Davison''s PhD work was in this area, in a project joint between the Departments of Mathematics and Mechanical Engineering at Imperial College, with the aim of modelling potential high exposures to radioactivity due to releases from nuclear installations. The key tools developed, joint with Richard Smith, were regression models for exceedances over high thresholds, which generalized earlier work by hydrologists, and formed the basis of some important later developments. This has led to an ongoing interest in extremes, and in particular their application to environmental and financial data. A major current interest is the development of suitable methods for modelling rare spatio-temporal events, particularly but not only in the context of climate change. Likelihood asymptotics too have undergone very substantial development since 1980. Key tools here have been saddlepoint and related approximations, which can give remarkably accurate approximate distribution and density functions even for very small sample sizes. These approximations can be used for wide classes of parametric models, but also for certain bootstrap and resampling problems. The literature on these methods can seem arcane, but they are potentially widely applicable, and Davison wrote a book joint with Nancy Reid and Alessandra Brazzale intended to promote their use in applications. Bootstrap methods are now used in many areas of application, where they can provide a researcher with accurate inferences tailor-made to the data available, rather than relying on large-sample or other approximations of doubtful validity. The key idea is to replace analytical calculations of biases, variances, confidence and prediction intervals, and other measures of uncertainty with computer simulation from a suitable statistical model. In a nonparametric situation this model consists of the data themselves, and the simulation simply involves resampling from the existing data, while in a parametric case it involves simulation from a suitable parametric model. There is a wide range of possibilities between these extremes, and the book by Davison and Hinkley explores these for many data examples, with the aim of showing how and when resampling methods succeed and why they can fail. He was Editor of Biometrika (2008-2017), Joint Editor of Journal of the Royal Statistical Society, series B (2000-2003), editor of the IMS Lecture Notes Monograph Series (2007), Associate Editor of Biometrika (1987-1999), and Associate Editor of the Brazilian Journal of Probability and Statistics (1987 2006). Currently he on the editorial board of Annual Reviews of Statistics and its Applications. He has served on committees of Royal Statistical Society and of the Institute of Mathematical Statistics. He is an elected Fellow of the American Statistical Assocation and of the Institute of Mathematical Statistics, an elected member of the International Statistical Institute, and a Chartered Statistician. In 2009 he was awarded a laurea honoris causa in Statistical Science by the University of Padova, in 2011 he held a Francqui Chair at Hasselt University, and in 2012 he was Mitchell Lecturer at the University of Glasgow. In 2015 he received the Guy Medal in Silver of the Royal Statistical Society and in 2018 was a Medallion Lecturer of the Institute of Mathematical Statistics.
Giorgio MargaritondoDe nationalité américaine et suisse, Giorgio Margaritondo est né à Rome (Italie) en 1946. Il a reçu la Laurea cum laude en physique de l'Université de Rome en 1969. De 1969 à 1978, il a travaillé pour le Consiglio Nazionale delle Ricerche (CNR), à Rome, à Frascati et, pendant la période 1975-1977, chez Bell Laboratories aux Etats-Unis. De 1978 à 1990, il est professeur de physique à l'Université du Wisconsin, à Madison (Etats-Unis); en 1984, il est nommé vice-directeur au Centre de rayonnement synchrotron de la même université. En 1990, il est engagé à l'EPFL comme professeur ordinaire et dirige l'Institut de physique appliquée au Département de physique. Il a été également membre honoraire du corps professoral de l'Université Vanderbilt à Nashville. En 2001 il a été nommé doyen de la Faculté des sciences de base de l'EPFL; en 2004, il a été nommé Vice-président pour les affaires académiques.; en 2010 et jusqu'à sa retraite de l'EPFL en 2016 il est devenu Doyen de la formation continue. A côté de ses cours de physique générale, son activité de recherche porte sur la physique des semiconducteurs et des supraconducteurs (états électroniques, surfaces, interfaces) et des systèmes biologiques; ses principales méthodes expérimentales sont la spectroscopie et la spectromicroscopie électroniques, l'imagerie aux rayons x et la microscopie SNOM, y compris les expériences avec le rayonnement synchrotron et le laser à électrons libres. Auteur d'environ 700 articles scientifiques et de 9 livres, il a aussi été responsable de 1995 à 1998 des programmes scientifiques du Synchrotron ELETTRA à Trieste. Depuis 1997, il a été le coordinateur de la table ronde de la Commission européenne pour le rayonnement synchrotron, et président du conseil de la "Integrated Initiative" de la Commission européenne pour les synchrotrons et les lasers à électrons libres (IA-SFS, ensuite ELISA), le plus grand réseau au monde de laboratoires dans ce domaine. En 2011-2015, il a été Editor-in-Chief du Journal of Physics D (Applied Physics). A présent, il est vice-président du conseil de l'Università della Svizzera Italiana (USI) et président du Scientific and Technological Committee de l'Istituto Italiano di Tecnologia (IIT). Il est "Fellow" de l'American Physical Society et de l'American Vacuum Society; il est également "Fellow and Chartered Physicist" de l'Institute of Physics.
Michael Christoph GastparMichael Gastpar is a (full) Professor at EPFL. From 2003 to 2011, he was a professor at the University of California at Berkeley, earning his tenure in 2008. He received his Dipl. El.-Ing. degree from ETH Zürich, Switzerland, in 1997 and his MS degree from the University of Illinois at Urbana-Champaign, IL, USA, in 1999. He defended his doctoral thesis at EPFL on Santa Claus day, 2002. He was also a (full) Professor at Delft University of Technology, The Netherlands. His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience. He is a Fellow of the IEEE. He is the co-recipient of the 2013 Communications Society & Information Theory Society Joint Paper Award. He was an Information Theory Society Distinguished Lecturer (2009-2011). He won an ERC Starting Grant in 2010, an Okawa Foundation Research Grant in 2008, an NSF CAREER award in 2004, and the 2002 EPFL Best Thesis Award. He has served as an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory (2008-11), and as Technical Program Committee Co-Chair for the 2010 International Symposium on Information Theory, Austin, TX.
Georges MeylanAprès une thèse en astrophysique, en 1985, à l'Observatoire astronomique de l'Université de Genève, Georges Meylan séjourne en tant que postdoc à l'Université de Californie à Berkeley, USA, et au siège de l'Observatoire Européen Austral (ESO) à Munich, Allemagne. Il occupe ensuite des positions d'astronome senior à l'ESO à Munich et au Space Telescope Science Institute (STScI) à Baltimore, USA. Depuis août 2004, il occupe la chaire d'astrophysique de l'EPFL.
Sa recherche porte sur la cosmologie observationnelle, incluant le phénomène de lentilles gravitationnelles, les quasars et leurs galaxies hôtes, la formation et l'évolution des galaxies tout au long de l'évolution de l'Univers, la dynamique stellaire et l'étude des populations stellaires proches et lointaines.
Katrin BeyerSince 2017 Associate Professor, School of Architecture, Civil and Environmental Engineering (ENAC), EPFL. Head of the Earthquake Engineering and Structural Dynamics (EESD) Laboratory
2010-2017 Assistant Professor, EPFL.
2008-2010 Post-doctoral researcher, ETH Zürich.
2003-2007 Ph.D., Roseschool / Università di Pavia, Italy.
2001-2003 Ove Arup & Partners, Advanced Technology and Research Group, London.
2001 Diploma, Civil engineering, ETH Zürich.
Roland SiegwartOriginaire d'Altdorf (UR) et d'Oberkirch (LU), Roland Siegwart est né en 1959 à Lausanne. Après une enfance à Schwyz, il a étudié à l'EPFZ et a obtenu son diplôme en génie mécanique en 1983. Il a travaillé ensuite comme assistant de recherche à l'EPFZ. En 1989, il a obtenu son doctorat, sa thèse traitant de l'application des paliers magnétiques sur les machines d'usinage de grande vitesse.
De 1989 à 1990, il a effectué des recherches à l'Université de Stanford en Californie (USA) et a participé à des projets en microrobotique. De retour en Suisse, il a rejoint l'Institut de robotique à l'EPFZ. Comme directeur remplaçant de l'Institut de Robotique, il a organisé les activités dans la micro- et nanorobotique. Il a mis notamment au pointuncourensystèmesélectroméca-niques appliqués.
Depuis 1990, R. Siegwart a été engagé en parallèle comme vice président de MECOS Traxler AG, une entreprise spin-off' de l'EPFZ. Il a dirigé de nombreux projets industriels dans le domaine des paliers magnétiques. ProfesseurauDépartementdemicrote-chnique de l'EPFL depuis 1996, R. Siegwart est responsable de la recherche en systèmes microtechniques autonomes. Le champ principal de ses activités porte sur les robots et les microrobots mobiles ainsi que les microsystèmes dynamiques et de très hautes performances.
