I am a Postdoctoral Research Associate in the Cambridge Machine Learning Group, part of the Prosperity grant led by Prof Richard Turner and Prof José Miguel Hernández-Lobato, and in partnership with Microsoft Research.

Previously I was an EPSRC Postdoctoral Research Associate at the University of Oxford affiliated with the Department of Statistics, and part of the Oxford Statistical Machine Learning Group, working with Pr Arnaud Doucet and Pr Yee Whye Teh. Previous to that, I was a DPhil candidate in the same research group, supervised by Pr Yee Whye Teh an Ryota Tomioka from Microsoft Research. Prior to that, I was a graduate enrolled in the Mathematiques, Vision, Learning (MVA) master at Ecole Normale Supérieure Paris-Saclay, with an emphasis on machine learning. I previously studied at Ecole des Ponts ParisTech in the mathematics and computer science department.


My research interests centre around deep probabilistic machine learning with a focus on encoding problem symmetries and geometrical constraints, with application to the natural sciences, in particular to molecular science and weather science.