I am a Ph.D. candidate at Princeton University working with Professor Miklos Racz. I study random structures and statistical physics focusing on geometric aspects. Previously, I was a graduate student at UC San Diego advised by Professor Lawrence Saul, co-advised by Professor Geoffrey Voelker and Professor Stefan Savage. I completed my undergraduate study at Tsinghua University under the supervision of Professor Jun Zhu.
I worked on Google Knowledge Graph and Google Ads at Google in the Bay Area during the summers of 2016 and 2018. I also interned at Microsoft Research Asia from April to November 2012.
- Doctor of Philosophy, Operations Research and Financial Engineering, Princeton University, 2016–.
- Master of Science, Computer Science, University of California, San Diego, 2013–2016.
- Bachelor of Science, Mathematics and Physics, Tsinghua University, 2009–2013.
Conference and workshop papers
- Teaching Assistant, ORF 526 (Probability Theory), Princeton, Fall 2018, Fall 2019, Fall 2020.
- Teaching Assistant, ORF 387 (Networks), Princeton, Spring 2020, Spring 2021.
- Teaching Assistant, ORF 350 (Analysis of Big Data), Princeton, Fall 2017, Spring 2019.
- Teaching Assistant, ORF 307 (Optimization), Spring 2018.
- Teaching Assistant, CSE 250A (Principles of Artificial Intelligence), UCSD, Spring 2016.
- Teaching Assistant, CSE 150A (Introduction to Artificial Intelligence), UCSD, Winter 2016.