Presentation of the Scientific Advisory Committee

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

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  • 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

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  • 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

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  • 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

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  • 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

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  • 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