About

I am an Assistant Professor in the Department of Statistics and Actuarial Science at the University of Waterloo, and a Faculty Affiliate at the Vector Institute.

Previously I was a DataX Postdoctoral Research Associate at Princeton University, where I worked with Boris Hanin. I received my PhD from the Department of Statistical Sciences at the University of Toronto, where my advisors were Daniel Roy and Murat Erdogdu.

You can find my CV here.

Research

I am broadly interested in deep learning theory. Most recently, I have been thinking a lot about scaling limits of large neural networks and their training dynamics.

You can find a list of my research work here.

Prospective Students

I am recruiting graduate students with strong foundations in real analysis and probability for theoretical research. Before contacting me, please consult the lecture notes below for a sense of the mathematical background relevant to my current work.

Lecture Notes

I am writing a set of Lecture Notes on Neural Network Scaling Limits. Comments and corrections are welcome.

Blog

I attempt to maintain a blog about interesting mathematics that I encounter but that does not necessarily fit into my research program. You can find the current list of my blog posts here.