About

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I'm a PhD student studying machine learning at UC Irvine. I'm fortunate to be advised by Stephan Mandt.

I'm interested in probability theory, information theory, and statistical learning in general. My PhD research has explored the connection between deep generative modeling and data compression (also see a recent talk here).

I got my bachelor's degree in computer science from UT Dallas, where I was advised by Nicholas Ruozzi.

📢 News [Jul 19 2024]: I'm co-organizing another edition of ML + compression workshop, this year at NeurIPS 2024! More info to come at https://neuralcompression.github.io.

📢 News [Jun 17 2024]: I'm interning with Amazon in New York 🗽🌃 and working on LLMs + representation learning. Happy to chat and get coffee!

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