I am a third-year PhD student in the Center for Applied Mathematics at Cornell University, where I am advised by Siddhartha Banerjee. My research focuses on the design of algorithms for combinatorial problems, particularly with applications to game theory. In addition, I have a passion for teaching and curricular development. I have helped to develop undergraduate course materials for the Cornell Math Department's Active Learning Initiative. Beyond academia, I am an avid baker and a devoted fan of the Buffalo Bills.
PhD in Applied Mathematics, 2024 (anticipated)
BS in Mathematics and Computer Science, 2019
University at Buffalo
We demonstrate the feasibility of using the high-resolution street-level photographs in Google Street View and an object-detection network (RetinaNet) to create a large-scale high-resolution survey of the prevalence of at least six plant species widely grown in road-facing homegardens in Thailand.
We introduce a family of matrices that provably capture any structured matrix with near-optimal parameter and arithmetic operation complexity. We empirically validate that these matrices can be automatically learned within end-to-end pipelines to improve model quality.
We introduce a parameterization of divide-and-conquer methods that is capable of representing a large class of linear transforms. This generic formulation can automatically learn an efficient algorithm for many such transforms, including the FFT.
I have been a teaching assistant for the following courses: