BIO

Sarah Filippi is a Professor of Statistical Machine Learning in the Department of Mathematics. She is also the Joint Director of the EPSRC Centre for Doctoral Training in Statistics and Machine Learning (StatML) at Imperial College London and Oxford University.

Coming from a background in mathematics and the theory of stochastic processes, Sarah Filippi completed a Ph.D. in Statistical Machine Learning at Télécom ParisTech in November 2010. After her PhD, she has been awarded a Medical Research Council Fellowship (2011-2014) and worked in the Theoretical Systems Biology group at Imperial College London. From 2014 to 2016, she was a lecturer in the Statistic Department of Oxford University and a faculty fellow at the Alan Turing Institute before coming back to Imperial College London where she first held a joint lectureship position between the School of Public Health and the Department of Mathematics (2017-2019) and then a senior lectureship in the Department of Mathematics.

You can find my group webpage here: https://sarahfilippi.github.io/

ACADEMIC POSITIONS

  • Joint Director of the EPSRC CDT in Statistics and Machine Learning at Imperial College London and Oxford University
    Imperial College London, London, United Kingdom1 Oct 2023 - present
  • Reader in Statistical Machine Learning
    Imperial College London, Mathematics, London, United Kingdom1 Sep 2022 - present
  • Senior Lecturer in Statistical Machine Learning
    Imperial College London, Mathematics, London, United Kingdom1 Oct 2019 - 31 Aug 2022
  • Lecturer in Biostatistics
    Imperial College London, School of Public Health and Department of Mathematics, London, United Kingdom9 Jan 2017 - 30 Sep 2019
  • Departmental Lecturer in Statistics
    University of Oxford, Statistics, Oxford, United Kingdom2 Jun 2014 - 8 Jan 2017
  • Research fellow
    Imperial College London, Theoretical Systems Biology group, London, United Kingdom1 Jun 2011 - 31 May 2014

FACULTY

  • Faculty of Natural Sciences

POSITION NAME

  • Professor of Statistical Machine Learning

FIELDS OF RESEARCH