About Me
I am a machine learning research intern at Google X and an undergraduate researcher in the Theory Group at USC. I have been fortunate to be advised by Shaddin Dughmi, Jason D. Lee, and David Kempe. Previously, I was a machine learning research intern at Sandia National Laboratories and the Air Force Research Laboratory.
I take a scientific approach to reconcile theory with empirical phenomena in deep learning. I develop fast, scrappy experiments that challenge conventional wisdom, then use the results to guide and revise theoretical hypotheses. My undergraduate research has focused on convex optimization, computer vision, and Bayesian learning.
Education
University of Southern California, 2017–2021
B.S., Applied and Computational Mathematics, magna cum laude
Minor in Computer Science
Research Interests
Mathematical Foundations of Machine Learning
Generalization Theory of Deep Learning
Convex and Non-Convex Optimization
Online Learning and Bandit Problems
Selected Awards
Neo Scholar (Top ~100 CS undergrads in America)
SIMLR Award for Outstanding Intern
USC Trustee Scholar ($250,000)
USC Viterbi Fellow ($24,000)
Dolphin Scholarship ($13,600)
Admiral Bernard Clarey Memorial Scholarship ($7,000)
Selected Publications
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