Dusan LicinaDusan Licina is a Tenure Track Assistant Professor of Indoor Environmental Quality at the School for Architecture, Civil, and Environmental Engineering (ENAC) at EPFL. He leads the Human-Oriented Built Environment Lab (HOBEL) in Fribourg since 1 June 2018. Dusan’s research and teaching are driven by the need to advance knowledge of the intersections between people and the built environment in order to ensure high indoor environmental quality for building occupants with minimum energy input. His research group specializes in air quality engineering, focusing on understanding of concentrations, dynamics and fates of air pollutants within buildings, and development and application of methods to quantitatively describe relationships between air pollution sources and consequent human exposures. His research interests also encompass optimization of building ventilation systems with an aim to improve air quality and thermal comfort in an energy-efficient manner. Throughout his career, Dusan specialized in air quality engineering, focusing on sources and transport of air pollutants in buildings, human exposure assessment, and optimization of building ventilation systems with an aim to improve air quality. Dusan completed my joint Doctorate degree at the National University of Singapore and Technical University of Denmark. He was formerly master and bachelor student in Mechanical Engineering at the University of Belgrade, Serbia. Prior to joining EPFL, Dusan worked for 3.5 years in the USA, first he was a postdoctoral researcher at the University of California Berkeley, and then he served as director on the standard development team at International WELL Building Institute (IWBI) in New York. Dusan is the recipient of several honors and awards, including Ralph G. Nevin’s award by the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) given in recognition of significant accomplishment in the study of human response to the environment. He is editorial board member of the highly acclaimed Indoor Air journal. He is passionate about raising awareness about the air quality issues worldwide and developing buildings that are not only energy efficient, but that also contribute to “Michelin Star” indoor air quality.
Anders MeibomAnders Meibom obtained his PhD in physics from the University of Southern Denmark in 1997. This was followed by two and a half years of PostDoc work at the Hawaii Institute for Geophysics and Planetology, where he conducted mineralogical studies of primitive chondritic meteorites. From 2000 to 2005, he was Research Associate in the Geological & Environmental Sciences, Stanford University, where he represented Stanford in the USGS-Stanford ion microprobe laboratory. In 2005, he became proifessor at the Muséum National dHistoire Naturelle in Paris. From 2006 to 2011 he was the director of the French national NanoSIMS laboratory. Since January 2012, he is professor at the EPFL in the School of Architecture, Civil and Environmental Engineering (ENAC). From April 2014, he is professor ad personam at the Institute of Earth Sciences, University of Lausanne.
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.
Konstantin Svetlozarov Gavazov2018 - to present: WSL, Switzerland; SNSF Ambizione research associate 2015 - 2017: CIRC Abisko, Umeå University, Sweden; Postdoc in permafrost ecology and climate change 2014 - 2015: WSL, Switzerland; Postdoc in peatlands ecology and biogeochemistry 2009 - 2013: École Polytechnique Fédérale de Lausanne, Switzerland; PhD in Ecology. 2006 - 2009: Vrije Universiteit Amsterdam, the Netherlands; MSc in Ecology 2002 - 2005: Jacobs University Bremen, Germany; BSc in Biological Sciences.
