I am a PhD student in the Department of Statistical Sciences at the University of Toronto and the Vector Institute. My academic advisors are Prof. Daniel Roy and Prof. Murat Erdogdu.

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 encouter, but does not necessarily fit into my research program. You can find the current list of my blog posts here.