I am currently a CS Ph.D student at Duke University, advised by Prof. Cynthia Rudin.
I am broadly interested in Machine Learning, Optimization and Data Mining. My goal is to design simple and interpretable models, which have performance comparable to black-box models, for decision making problems. These techniques can be further applied to interdisciplinary areas with economic, finance and healthcare.
Before joining Duke, I received my B.Sc in Computer Science from the University of British Columbia, with distinction.
Ph.D in Computer Science, 2020 - Present
Duke University
B.Sc in Computer Science (Honors), 2016 - 2020
University of British Columbia
The best paper compeitition (theoretical track) will be held on Oct.19 2:30 PM - 3:45PM.
The session is held on Sunday, October 20, from 2:15 PM to 3:30 PM in Seattle.