I started as a Chapman Fellow in Statistics at Imperial College London’s Department of Mathematics in September 2025. I received my Ph.D. from Cornell University’s Center for Applied Mathematics working under the supervision of Prof. Ziv Goldfeld in the summer of 2025. My dissertation studied statistical and computational properties of optimal transport-based distances, including regularized optimal transport and the Gromov-Wasserstein distance. Previously, I studied at McGill University, earning a B.Sc. in honors Mathematics and Physics in 2019 and a M.Sc. in Mathematics and Statistics in 2020 under the supervision of Prof. Rustum Choksi and Prof. Tim Hoheisel. The subject of my Master’s thesis was applying the maximum entropy on the mean method to the problem of image deblurring.

Research Interests

My research interests lie broadly in mathematical statistics, optimization, and probability. I am particularly interested in the interplay between these subjects, and hence, have recently been working on problems in optimal transportation.

My most recent work has focused on studying statistical and computational aspects of the Gromov-Wasserstein distance, which is a figure of merit for comparing the inner structure of metric measure spaces. Indeed, it defines a metric on the space of metric measure spaces modulo isometries.

Its definition is akin to the standard optimal transport problem with the important distinction that the underlying objective is non-convex in general (as opposed to the linear optimal transport problem). As such, principled analysis of the Gromov-Wasserstein distance requires new techniques, and many standard results from optimal transport (e.g. duality and existence of transport maps) do not yet have a direct analogue.

Awards and Fellowships

• 2022-2025: Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Scholarship - Doctoral (PGS D) recipient.
• 2019-2020: Natural Sciences and Engineering Research Council of Canada (NSERC) Alexander Graham Bell Canada Graduate Scholarship - Master’s (CGS M) recipient.
• 2019-2020: Kenneth Eade Fellow.
• Fall 2018: McGill University Undergraduate Research Conference Poster Presentation 1st Prize in Computational and Mathematical Sciences Category.
• Summer 2018: McGill University Science Undergraduate Research Award (SURA) Recipient.