University of Perugia, Italy
Francesco Bartolucci is a Full Professor of Statistics in the Department of Economics of the University of Perugia (IT). His main research interests are on Longitudinal and panel data, Latent variable and mixture models, Models for categorical data, and Optimization and Markov chain Monte Carlo algorithms for parameter estimation. On these topics, he published papers that appeared in prestigious journals of Statistics and Economics. He has acted as Associate Editor or Referee for many statistical journals, and he is currently Editor of “Statistical Modelling: An International Journal”. He participated in several grants, and he was the Principal Investigator of the research project “Mixture and latent variable models for causal inference and analysis of socio-economic data”, funded by the Italian Government (“Futuro in ricerca” 2012).
Katholieke Universiteit Leuven, Belgium
Gerda Claeskens is professor of statistics at the research group ORSTAT and the Leuven Statistics Research Center of the KU Leuven, Belgium. Her research mostly focuses on model selection methods, inference post-selection, nonparametric estimation and high-dimensional data.
Gerda is a Fellow of the Institute of Mathematical Statistics and of the American Statistical Association. She is an Elected Member of the International Statistical Institute and she was a 2016 IMS Medallion lecturer. Earlier she received a Gottfried E. Noether Young Scholar award. Gerda Claeskens currently serves as Associate Editor of the Journal of the American Statistical Association, International Statistical Review and of TEST.
University of Milano Bicocca, Italy
Francesca Greselin is associate professor of statistics at the University of Milano-Bicocca (with national full professor qualification, in 2019).
She authored about 40 peer-reviewed scientific works, published in international journals. She has been Visiting Fellow at the University of Western Ontario (Canada) and the University of Queensland (Australia). She is associated editor of Statistics and Computing and guest editor of Statistical Analysis and Data Mining. She is involved in several scientific committees of international journals and conferences.
Her research activity includes inequality measures, their properties, limit theorems and applications. More recent research is focused on mixture models within the classification framework, with emphasis on robust methodologies for model estimation and clustering.
Georg-August-Universität Göttingen, Germany
Thomas Kneib is a Professor of Statistics at the University of Göttingen, Germany, where he is the Spokesperson of the interdisciplinary Centre for Statistics and Deputy Spokesperson of the Campus Institute Data Science. He received his PhD in Statistics at LMU Munich and, during his PostDoc phase, has been Visiting Professor for
Applied Statistics at the University of Ulm and Substitute Professor for Statistics at the University of Göttingen. From 2009 until 2011 he has been Professor for Applied Statistics at Carl von Ossietzky University Oldenburg. His main research interests include semiparametric regression, spatial statistics and distributional regression.
Sofia Charlotta Olhede
École Polytechnique Fédérale de Lausanne, Switzerland
Sofia Olhede is a professor of Statistics at EPFL in Switzerland. She joined UCL prior to this in 2007, before which she was a senior lecturer of statistics (associate professor) at Imperial College London (2006-2007), a lecturer of statistics (assistant professor) (2002-2006), where she also completed her PhD in 2003 and MSci in 2000. She has held three research fellowships while at UCL: UK Engineering and Physical Sciences Springboard fellowship as well as a five-year Leadership fellowship, and now holds a European Research Council Consolidator fellowship. Sofia has contributed to the study of stochastic processes; time series, random fields and networks. Sofia was part of the multi-institutional team that set up the UK national data science institute, the Alan Turing Institute. Sofia was also a member of the Royal Society and British Academy Data Governance Working Group, and the Royal Society working group on machine learning. Most recently she was one of 3 commissioners on a law society commission on the usage of algorithms in the justice system.