Broadly speaking my research is on optimization problems. My Ph.D. work focused on problems in combinatorial optimization. More recently, I have applied those techniques to machine learning and also to computational biology.
For papers on machine learning applied to medicine, click here.
A resume is here.
List of all publications (ORCID): 0000-0002-2739-1246.
Selected Research Papers
Note that author order is alphabetical (by last name) in the papers, as per convention in the mathematics and theoretical computer science community.
Working papers:
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Enhancing small molecule selectivity using Wasserstein distance based reweighing. Under submission, 2022.
Selected published papers:
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The Landscape of Nonconvex-Nonconcave Minimax Optimization. Joint with B. Grimmer, H. Lu, and V. Mirrokni, Math. Prog. (Springer Nature), 2020.
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Nonlinear random matrix theory for deep learning. Joint with J. Pennington, Journal of Statistical Mechanics, 2019.
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A control version of the Freidlin-Wentzell Theorem. American Control Conference, 2018.
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Rank Bounds for a Hierarchy of Lovasz and Schrijver. Journal of Combinatorial Optimization, 2013.