I am a PhD student at the University of California, Los Angeles (UCLA) in the Department of Computer Science, advised by Alyson Fletcher and Sundeep Rangan. My current research is focused on understanding the training dynamics of deep generative models in high-dimensional regimes. I am especially interested in the implicit bias and regularization of deep learning, as well as uncovering necessary conditions for convergence and generalization. I am currently funded by an Amazon Science PhD Fellowship.
Previously I was a Stamps Scholar at the University of Pittsburgh and earned a B.Sc. in Electrical Engineering in 2020.
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PhD in Computer Science, Prospective
University of California, Los Angeles
BSc in Electrical Engineering, 2020
University of Pittsburgh
Check out my recent publications!