About

I’ll be a Research Intern at Google Brain with Been Kim for Summer 2022.

I’m a PhD candidate in Statistical Sciences at the University of Toronto, advised by Daniel Roy. I am supported by an NSERC Doctoral Canada Graduate Scholarship and the Vector Institute. I received my BSc in Financial Modelling from Western University in 2018.

My research area is broadly the theoretical foundations of statistical decision making, with applications to both statistical methodology and machine learning algorithms. I’m currently thinking about adaptivity in a variety of settings, using tools from probability, nonparametric statistics, classical minimax theory, and online learning to answer the question:

      How and when can we make decisions as well as if we knew the              structure of the World in advance, without requiring this knowledge?