About me
I am a Ph.D. student at Mila and the Université de Montréal, supervised by Damien Scieur.
One could consider my life goal as “Understanding the real through building an abstraction that captures its essence”. In my opinion, achieving that goal must be through math, computer science and physics. Building a theory of intelligence is a crucial part of that journey as humans make, understand, and interpret reality through their brains. For that, I like thinking about what artificial neural networks are telling us, as well as how they work using mathematical frameworks.
I am deeply convinced that a good scientist is open-minded and curious. That is why I don’t restrict myself to any particular research domain and keep learning every day (mostly related to cs, math and physics).
My current reasearch interests are: huge-scale optimization, federated learning, distributed computing.
Theme from Alfredo Canziani. Last update: 10 Mar 2024.