I am a Research Scientist at AI at Meta (FAIR) in the Montreal lab. My research focuses on equipping today's best models with the ability to generalize to natural variations of the world around us, a skill they currently crucially lack. To that end, I am particularly interested in representation learning methods such as equivariance and disentanglement applied to self-supervised (multimodal) models.

Before joining FAIR, I pursued my PhD in Machine Learning at the University of Oxford under the amazing supervision of M. Pawan Kumar and Sebastian Nowozin.

I am always looking for interesting research collaborations and ideas, please get in touch and send me an email.