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:

  • Enhancing small molecule selectivity using Wasserstein distance based reweighing. Under submission, 2022.

    • Selected published papers:
  • The Landscape of Nonconvex-Nonconcave Minimax Optimization. Joint with B. Grimmer, H. Lu, and V. Mirrokni, Math. Prog. (Springer Nature), 2020.
  • Nonlinear random matrix theory for deep learning. Joint with J. Pennington, Journal of Statistical Mechanics, 2019.
  • A control version of the Freidlin-Wentzell Theorem. American Control Conference, 2018.
  • Rank Bounds for a Hierarchy of Lovasz and Schrijver. Journal of Combinatorial Optimization, 2013.