Staff Research Scientist and Tech Lead at Meta - Central Applied Science Team 2019 - present
Applied Scientist Intern at Amazon 2018
University of Wisconsin-Madison 2014 - 2019
Ph.D. in Statistics, minor in Computer Science
Advised by Prof. Karl Rohe
University of Science and Technology of China 2010 - 2014
B.S. in Statistics
"Introducing Ground Truth Maturity Framework" KDD 2022
"Understanding Regularized Spectral Clustering via Graph Conductance." NeurIPS 2018, UC Davis 2020
"Post-stratication in Network Driven Sampling." JSM 2018
"When can Multi-Site Datasets be Pooled for Regression?" ICML 2017
"Discovering Political Topics in Facebook Discussion threads with Graph Contextualization." MMLS 2018, PCML 2016, IC2S2 2016, ICSA 2016
"Using Singular Value Decomposition to detect continuous Gravitational Waves." PPTA 2013
Reviewer at Journal of the American Statistical Association (JASA), Journal of Machine Learning Research (JMLR), Conference on Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML)
Founder at UW-Madison Student's-T(alk)
Organizer at UW Institute for Foundations of Data Science, Students-Organized Workshop, Apr 2018
Session Chair at Joint Statistical Meetings (JSM), Vancouver, Jul 2018
Guest Lecture " Welcome to Shiny." STAT 479: Data Science with R, Feb 2017.
Guest Lecture "Graph Contextualization." STAT 992: Applied Network Analysis, Dec 2015.
Teaching Assistant at STAT 479: Data Science in R, Spring 2018
NeurIPS Travel Award, 2018
The Champion of Jane Street's Electronic Trading Challenge, 2018
2nd place of 2018 A9 (Amazon Search, Advertisement, Visual Search) Intern Hackathon, 2018
ICML Travel Award, 2017
The University of Western Australia Achieve International Excellence Award, 2013
Outstanding Research Award in USTC (Grade 1), 2013
Outstanding Student Scholarship (Grade 2), 2010, 2012, 2013
Outstanding Student Scholarship (Grade 1, 4/130), 2011