Fellow
Xuechen Li
Stanford University
2023
I am a Ph.D. candidate at Stanford computer science, advised by Tatsunori Hashimoto and Carlos Guestrin. I develop methods to ensure that machine learning and AI pipelines are trustworthy and safe. Currently, I focus on improving privacy-preserving machine learning and secure computation for machine learning systems. I obtained my BSc from the University of Toronto in computer science, mathematics, and statistics, graduating with high distinction and a Regents Graduating Scholarship. I have also been a frequent reviewer for machine learning conferences and have received an outstanding reviewer award at ICML 2022. For more, please visit my website.