About me

I am a researcher in Deep Learning at Borealis AI focusing on time-series forecasting for a wide range of applications.

Research interests

The goal of my research is to understand the fundamental principles that underpin generalization in machine learning. Most of my past research focused in particular on the following computer vision problems: scene understanding and zero-shot learning. More recently, I have focused more on time-series forecasting via contrastive learning.

Biography

In 2021, I received my Ph.D. in Computer Science from Université de Montréal (Mila lab) with a thesis on generalization for complex visual tasks, advised by Pr. Yoshua Bengio and Pr. Devon Hjelm. During the course of my PhD, in addition to focusing on generalization, I also conducted research on survival analysis and multimodality in medical imaging.

Formerly, I received a M.Sc. in Computer Science at the University of Oxford in 2014, and an Engineering Diploma (equivalent to a MSc) at Ecole Polytechnique in France.