About Me

I'm a 3rd year DPhil student at the University of Oxford, in the Department of Statistics, part of Oxford Statistical Machine Learning Group, supervised by Pr Yee Whye Teh, and a member of Mansfield college. Previously, I was a graduate enrolled in the Mathematiques, Vision, Learning (MVA) master at Ecole Normale Supérieure Paris-Saclay, with an emphasis on machine learning. Prior to that, I worked for Criteo as a data scientist intern, where I improved predictive bidding models. I previously studied at Ecole des Ponts ParisTech in the mathematics and computer science department, where I spent two years.

My interests lie at the intersection of deep probabilistic modelling and geometry.

I am supported by the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007–2013) / ERC grant agreement no. 617071, and by Microsoft Research through its PhD Scholarship Programme.


Alan Turing

Hierarchical Representations with Poincaré Variational Auto-Encoders

On-going work on using hyperbolic geometry for modelling data with underlying hierarchical structure, within the variational auto-encoder setting.


Disentangling Disentanglement for Variational Auto-Encoders

Recent work on disentanglement for variational auto-encoders, aiming at generalising such a concept to other than independent representations.

Curriculum vitae

My Résumé is available here.

Contact me




Department of Statistics
University of Oxford
24-29 St Giles
Oxford OX1 3LB, UK