Good day! I am a PhD student at
Université de Montréal and
Mila, where I am supervised by
Hugo Larochelle and
Aaron Courville.
I am currently interning 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).
My research focuses on understanding how and why neural networks work, and is based on the belief that the performance of modern neural networks far exceeds our understanding of them and that bridging this gap is a crucial step to building better, more trusted models.
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.
Prior to Uber, I worked as a private equity analyst at Radar Capital, and then as an economic consultant at
Cornerstone Research.
