I am currently a Senior Research Scientist at Google Research.
Prior to this, I was a postdoc at UCSD in the CSE department, working with Kamalika Chaudhuri, Sanjoy Dasgupta, and Paul Siegel. Before this, I was a visiting Research Scientist at Facebook Reality Labs, exploring Distributed Computing and Augmented Reality. In June 2018, I received my PhD in Computer Science & Engineering from the University of Washington (UW). My advisor was Paul Beame, and I was a part of both the Theory and MISL groups. I also spent time at Microsoft Research, working with the DNA Storage and the Theory groups. I obtained my BS from the Department of Computer Science at the University of Illinois Urbana-Champaign (UIUC).
My research explores the foundations of large-scale machine learning models. Recently, I've been interested in robustness and stability, including adversarial attacks and OOD generalization. I also work on detecting and classifying dataset shifts for computer vision problems. Finally, I enjoy formulating new theoretical ML models, such as for sparsely activated mixture-of-experts networks.
For more information, take a look at my Publications. See also the UCSD Machine Learning Blog for expository articles about my papers and more.
(Jan 2023) Looking forward to serve as an area chair for ICML 2023.
(Jan 2023) Our paper on probing OOD behavior via nearest category generalization was accepted to TMLR.
(Dec 2022) Attending NeurIPS in New Orleans to present our paper on sparsely activated networks.
(Oct 2022) Having fun working on product-driven ML questions, instead of just writing papers!
(Jun 2022) Hosting a research intern, Leslie Rice, to work on robust distillation.
(Jun 2022) Finally had a chance to visit the MTV office!