I am a 2nd year Ph.D. Student at NYU Tandon School of Engineering, advised by Prof. Christopher Musco and part of the Algorithms and Foundations Group.
I research the interplay of theoretical statistics and computation, largely through the lens of linear algebra.
My recent publications have looked at:
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Provably Optimal Fast Linear-Algebra Algorithms (SOSA2020)
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The Statistical Complexity of Kernel Learning (NeurIPS2020, ICML2019)
Of course, I am interested in problems beyond these areas, and if you want to work with me on a problem, send me an email.
Research Interests
Fast Linear Algebra, Statistical Theory, Learning Theory, Information Theory, Theoretical Computer Science