Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Unit

Chair of Statistical Data Science

Laboratory

Summary

The Chair of Statistical Data Science at EPFL, led by Professor Sofia Olhede, focuses on analyzing large volumes of data, particularly temporal, spatial, and relational data. The group has developed methods for oceanographic, geophysical, and ecological data analysis, as well as data governance and ethics. Prof. Olhede's research includes stochastic processes, time series, random fields, and networks. She played a key role in establishing the UK national data science institute, the Alan Turing Institute, and has been involved in various data governance and machine learning initiatives.

Official source

Summary

Official source

Related people (2)

Sofia Charlotta Olhede

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.

Rayan Harfouche