Good day! I am currently a research scientist at
Anthropic, working on improving frontier capabilities of the model across both pretraining and post-training.
I obtained my PhD at
Université de Montréal and
Mila, under the supervision of
Hugo Larochelle and
Aaron Courville.
During my PhD, I had the pleasure to intern at
Apple MLR with
Preetum Nakkiran,
Josh Susskind and
Samy Bengio.
I was also a student researcher at
Google Brain in 2022, working with
Hanie Sedghi and
Behnam Neyshabur on making large language models reason better.
Prior to Mila, I was a data scientist at Uber where I built econometric and machine learning models to measure and optimize marketing spend globally.
I also had the fortune of doing research with wonderful folks at Uber AI Labs (now
ML Collective).
These folks took me in when all I knew about deep learning was having done Andrew Ng's Coursera course and all I knew about python was what I'd gleaned from the tensorflow tutorials, proving that anyone can do research with the right amount of gentle guidance (and compute...).
Before getting into the world of machine learning, I was an undergraduate at the
Ivey Business School in
Canada,
where I studied finance and entrepreneurship (if one could even study such a thing).
Prior to Uber, I worked as a private equity analyst at Radar Capital, and then as an economic consultant at
Cornerstone Research.
