I'm an assistant professor in the department of Informatics and Operations Research (DIRO) at Université de Montréal and a core academic member of Mila - Quebec Artificial Intelligence Institute.  I'm fortunate to receive support as a Canada CIFAR AI Chair.

In brief, my research focuses on combining causality and machine learning in service of AI systems that are robust to distribution shifts, adapt to new tasks efficiently, and discover new knowledge alongside us.  The topics I work on span causal representation learning to  robust supervised prediction. I'm interested in both technical results and practical algorithms that work for data such as text, images, networks, or multiple modalities.