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Sofia Charlotta Olhede

EPFL SB MATH SDS
MA B1 443 (Bâtiment MA)
Station 8
1015 Lausanne

Expertise

  • Statistics
  • Data Science
  • Signal Processing

Mission

The Statistical Data Science Chair has as its core mission to develop new methods to understand Big Data, taking inspiration both from theory and applied problems.
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. She organised and served as chair of the science committee that developed the initial 500 000 pounds scientific programme of the institute; peer-reviewing over 100 workshop proposals and hosting over 30. She also chaired the first recruitment wave of the institute hiring 13 data scientists as a multi-university recruitment drive. Sofia was 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.

Formation

PhD

| Mathematics

2000 – 2003 Imperial College London

MSci

| Mathematics

1996 – 2000 Imperial College London

Prix et distinctions

Fellow of the Institute of Mathematical Statistics

Institute of Mathematical Statistics

2018

Elected Member

International Statistical Institute

2015

Doctorant·es actuel·les

Charles Dufour, Karl Sawaya

A dirigé les thèses EPFL de

Anda Skeja

Cours

Statistical analysis of network data

MATH-448

Un premier cours sur l'analyse statistique de données d'interaction.

Time series

MATH-342

Un premier cours en analyse statistique de séries temporelles.