I am an Assistant Professor of Mathematics at Brandeis University. In 2018, I obtained my PhD in Mathematics and MS in Statistics at the University of Minnesota, and from 2018-2021 I was an Instructor of Applied Mathematics at MIT.
My current research interests span statistics, machine learning, computer vision, and nonconvex optimization. In the past, I have specifically focused on the problem of robust subspace recovery and more recently I have been interested in problems related to optimal transport.
Developing robust algorithms for learning from high-dimensional data with theoretical guarantees.
Investigating computational and theoretical aspects of optimal transport with applications to generative models.
Developing algorithms and theory for 3D vision problems.
Theory and algorithms for solving challenging optimization problems arising in modern data analysis.
For a complete list of publications, please see Google Scholar profile.