Bio
Alexis was a second year PhD student at the University of Cambridge, supervised by Professor Mihaela van der Schaar. Prior to Cambridge, Alexis graduated from an MSc in Statistics from Oxford and a BSc in Mathematics from Imperial College London.
Research interests
Alexis’ research interests lie at the intersection of machine learning and healthcare. He strives to develop algorithms and predictive models that can help clinicians give individualised care to their patients. His current research is focused on hypothesis testing and transfer learning, especially in how they relate to high-dimensional data and survival outcomes, both frequent in medical applications.