I’m a fifth year PhD student at UT Austin under the supervision of Eric Price. Before I was a Master student at UBC and was co-supervised by Nick Harvey and Mark Schmidt. Since last summer, I’ve been collaborating with Chicheng Zhang.
I study active learning. Specifically, we work on designing Bayesian active learning methods with near-optimal theoretical gurantees. During my Master’s studies, my research revolved around first-order optimization methods and online learning. I am also interested in data-driven algorithms. More generally, I work on learning theory and like TCS problems. If you want to collaborate or just chat with me, please send me an email!
Recently I’m transitioning my research to more applied side of ML. I believe my research could help improve sample or label efficiency of training modern ML models like diffusion models and LLM finetuning.
“I’m one with the force and the force is with me.” – Chirrut Îmwe
PhD in Computer Science, 2021-Now
University of Texas at Austin
MSc in Computer Science, 2018-2020
University of British Columbia
BMath in Computer Science and joint major in Combinatorics & Optimization, 2015-2018
University of Waterloo