Department of Biomedical Informatics
Harvard Medical School
Email: suqil at med dot harvard dot edu
Office: Countway Library
I am a Postdoctoral Research Fellow in the Department of Biomedical Informatics at Harvard Medical School working under Professor Tianxi Cai. I received my Ph.D. from Princeton University advised by Professor Miklos Racz.
My research interests lie broadly at the intersection of probability, statistics, and combinatorics. Specifically, I study random graphs with latent geometric structure with application to biomedical networks.
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 where my thesis adviser was Professor Jun Zhu.
I did internships at Google working on Google Knowledge Graph and Google Ads 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, 2016–2022.
M.S. in Computer Science, University of California, San Diego, 2013–2016.
B.S. in Mathematics and Physics, Tsinghua University, 2009–2013.
A probabilistic view of latent space graphs and phase transitions
Suqi Liu and Miklos Z. Racz
Phase transition in noisy high-dimensional random geometric graphs
Suqi Liu and Miklos Z. Racz
Conference and workshop papers
Modeling Advertiser Bidding Behaviors in Google Sponsored Search with a Mirror Attention Mechanism
Suqi Liu, Liang Liu, Sugato Basu, Jean-Francois Crespo
Who is .com? Learning to Parse WHOIS Records
Suqi Liu, Ian Foster, Stefan Savage, Geoffrey M. Voelker, Lawrence K. Saul
Phase transitions in soft random geometric graphs. Graduate Student Seminar, PACM, Princeton, March 15, 2022.
Phase transitions in soft random geometric graphs. Stochastics Seminar, School of Mathematics, Georgia Tech, January 13, 2022.
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 309 (Probability and Stochastic Systems), Princeton, Spring 2022.
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.