I am a final year Ph.D. student at Princeton University working with Professor Miklos Racz. My research interests lie broadly in probability, high-dimensional statistics, and combinatorics. Specifically, I study random graphs with latent geometric structure with applications to network science.
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.
Ph.D. in Operations Research and Financial Engineering, Princeton University, 2016–.
M.S. in Computer Science, University of California, San Diego, 2013–2016.
B.S. in Mathematics and Physics, Tsinghua University, 2009–2013.
Conference and workshop papers
A probabilistic view of latent space graphs and phase transitions. Northeast Probability Seminar, November 18, 2021. [video] [slides]
Phase transition in noisy high-dimensional random geometric graphs. Columbia–Princeton Probability Day, May 7, 2021. [video] [slides]
Learning to parse WHOIS records. Internet Measurement Conference, Oct 30, 2015. [slides]
Assistant in Instruction, ORF 526 (Probability Theory), Princeton, Fall 2018, Fall 2019, Fall 2020.
Assistant in Instruction, ORF 387 (Networks), Princeton, Spring 2020, Spring 2021.
Assistant in Instruction, ORF 350 (Analysis of Big Data), Princeton, Fall 2017, Spring 2019.
Assistant in Instruction, ORF 307 (Optimization), Princeton, Spring 2018.
Teaching Assistant, CSE 250A (Principles of Artificial Intelligence), UCSD, Spring 2016.
Teaching Assistant, CSE 150A (Introduction to Artificial Intelligence), UCSD, Winter 2016.