Previously I was a Masters student in the same department, during which I worked with Prof. Jeffrey Rosenthal. For my undergraduate degree I studied Engineering Science at University of Toronto, majoring in Electrical and Computer Engineering. My undergraduate thesis was supervised by Prof. Christina Christara. You can find my CV here.
I am broadly interested in studying theoretical properties of random algorithms in statistical learning. Most recently, I have been thinking a lot about
- Langevin algorithms on a Riemannian manifold, in particular as an application of stochastic analysis and partial differential equations,
- Training dynamics of large neural networks, in particular as an application of random matrix theory.
You can find a list of my research work here.
I attempt to maintain a blog of interesting mathematics I encounter, but does not necessarily fit into my research program. You can find the current list of my blog posts here.