Sophia HaussenerSophia Haussener is an Associate Professor heading the Laboratory of Renewable Energy Science and Engineering at the Ecole Polytechnique Fédérale de Lausanne (EPFL). Her current research is focused on providing design guidelines for thermal, thermochemical, and photoelectrochemical energy conversion reactors through multi-physics modeling. Her research interests include: thermal sciences, fluid dynamics, charge transfer, electro-magnetism, and thermo/electro/photochemistry in complex multi-phase media on multiple scales. She received her MSc (2007) and PhD (2010) in Mechanical Engineering from ETH Zurich. Between 2011 and 2012, she was a postdoctoral researcher at the Joint Center of Artificial Photosynthesis (JCAP) and the Energy Environmental Technology Division of the Lawrence Berkeley National Laboratory (LBNL). She has published over 70 articles in peer-reviewed journals and conference proceedings. She has been awarded the ETH medal (2011), the Dimitris N. Chorafas Foundation award (2011), the ABB Forschungspreis (2012), the Prix Zonta (2015), the Global Change Award (2017), and the Raymond Viskanta Award (2019), and is a recipient of a Starting Grant of the Swiss National Science Foundation (2014). She is a deputy leader in the Swiss Competence Center for Energy Research (SCCER) on energy storage and acts as a Member of the Scientific Advisory Council of the Helmholtz Zentrum.
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.
Christof HolligerOriginaire d'Adliswil, Christof Holliger est né en 1959. Diplômé de l'ETHZ en biologie en 1984, il mène des travaux de recherche dans le domaine de la microbiologie environnementale à l'Université d'Agriculture de Wageningen (Pays-Bas) où il obtient son doctorat en Science de l'environnement en 1992. En 1992, il retourne en Suisse engagé comme collaborateur scientifique et chef de groupe à l'Institut Fédéral pour l'Aménagement, l'Epuration et la Protection des Eaux (EAWAG) à Kastanienbaum. Il y continue ses recherches sur la déchloruration réductrice, commencées aux Pays-Bas, et dirige des travaux sur la réduction des composés nitroaromatiques, la réduction du fer et la méthanogenèse psychrophile dans les sédiments des lacs. En octobre 1998, il est nommé professeur assistant en biotechnologie environnementale au Département de génie rural de l'EPFL. Ses recherches visent l'application des micro-organismes anaérobies pour le traitement des eaux résiduaires. En novembre 2004, il est nommé professeur associé et devient responsable du laboratoire de biotechnologie environnementale à la Faculté de l'Environnement naturel, architectural et construit. L'utilisation des techniques de la biologie moléculaire pour la caractérisation des communautés microbiennes impliquées dans le biotraitement de l'air, des eaux et des sols pollués est un outil clé dans les différents projets de recherche visants le développement des nouveaux procédés de traitement.
Arnaud MagrezEducation
PhD., Materials Science, summa cum laude, Université de Nantes, 2002
M.S., Chemistry, Université des Sciences et Technologies de Lille, 1999
Academic positions
Head of the Crystal Growth Facility, EPFL, 2012-present
Research Associate, Laboratoire de Physique de la Matière Complexe, EPFL, 2003-2012
Research Fellow, Peter Grunberg Institute, FZ-Juelich, 2002-2003
Administrative positions at EPFL
Scientific staff member, EPFL Assembly, 2015-present
Scientific staff member, School Council SB, 2014-present
Member of the IPHYS office 2016-present
Member of the ICMP office 2012-2015
Member of the safety committee of ICMP 2010-2015
