The SAC committee consists of 5 international members and meets in Oslo every second year. Next meeting is 3 days in October 2016. Between meetings the communication is done by email and skype. Below is a presentation of each member.
Prof. Idris Eckley, Lancaster U, UK
- Until 2007 Statistical Consultant at Shell Global Solutions
- Co-Director of the EPSRC-funded STOR-i Centre for Doctoral Training
- Within STOR-i he leads the Centre's industrially-engaged research activity
- Since 2015, co-Director of DSI @Lancaster: Lancaster is creating a new world-class, multidisciplinary Data Science Institute that will set the global standard for a truly interdisciplinary approach to contemporary data-driven research challenges.
Prof. Samuel Kaski, U. Helsinki, Finland
- Professor of Computer Science, Aalto University
- Director, Finnish Centre of Excellence in Computational Inference Research COIN, Aalto University and University of Helsinki
- Academy Professor (research professor), 2016-2020
- Statistical machine learning and probabilistic modeling
Prof. Geoff Nicholls, U. Oxford, UK
- Professor in Statistics
- Started in Physics in New Zealand
- PhD in particle physics in the Department of Applied Mathematics and Theoretical Physics in Cambridge, University of Auckland in New Zealand
- Bayesian inference, Computational Statistics, Statistical Genetics, Geoscience, Linguistics and Archaeology
Prof. Marina Vannucci, Rice U, Houston, USA
- Professor and Chair of the Department of Statistics
- Adjunct faculty member of the UT M.D. Anderson Cancer Center
- Rice Director of the Inter-institutional Graduate Program in Biostatistics
- Honorary appointment at the University of Liverpool, UK
- University of Kent at Canterbury, UK
- Department of Statistics at Texas A&M University
- NSF CAREER award in 2001
- Editor-in-Chief for the journal Bayesian Analysis
Senior Lecturer Veronica Vinciotti, Brunel U of London, UK
- Senior Lecturer in Statistics, Department of Mathematics, Brunel University
- Ph.D in Statistics, Imperial College, London
- Statistical classification methods in credit scoring.
- Statistical genomics
- Co-director of the European Cooperation for Statistics of Network Data Science
