About Me

I am a fourth-year Ph.D. student in the statistics department at the University of Michigan, where I am advised by Prof. Ambuj Tewari. Previously, I studied mathematics and computer science at the University of Mississippi (Olemiss). During my time there, I was fortunate to work with Prof. Rizwanur Khan and Prof. Micah Milinovich in number theory.

Research Interest

I am broadly interested in the theory of machine learning. My topics of interest include learning theory, online learning, adversarial robustness, vector-valued prediction, operator learning, and partial-feedback models, dynamical systems. In the past, I have also worked on probabilistic number theory.

Preprints

Publications

Talks

  • Online Learning with Set-Valued Feedback (Signal Processing Seminar UM EECS, 2024)
  • Online Infinite-Dimensional Regression: Learning Linear Operators (MSSISS, 2024)
  • Online Infinite-Dimensional Regression: Learning Linear Operators (ALT 2024)
  • A Weighted Version of Erdos-Kac Theorem (Number Theory Seminar, Ole Miss)
  • Computational Investigations of Random Multiplicative Functions (Fields Institute, 2020)

Miscellaneous Writing

Teaching

I have been a Graduate Student Instructor for the following courses at Michigan: