Experience

Industry

• Staff Research Scientist and Tech Lead at Meta - Central Applied Science Team 2019 - present

• Applied Scientist Intern at Amazon 2018

Education 

• 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

Presentations

• "GenAI Evaluation Maturity Framework to assess and improve GenAI Evaluations" NeurIPS 2024

• "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

Professional Activities

• 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 Speaker at UC Davis Institute of Data Science round table discussion, 2020

Teaching Experiences

• Guest Lecture 

  • " Welcome to Shiny." STAT 479: Data Science with R, Feb 2017.

  • "Graph Contextualization." STAT 992: Applied Network Analysis, Dec 2015.

• Teaching Assistant

  • STAT 479: Data Science in R, Spring 2018

  • STAT 479: Data Science in R, Spring 2018

  • STAT 312: Probability, Spring 2016

  • STAT 312: Probability, Fall 2015

  • STAT 371: Intro to Mathematical Statistics, Spring 2015

  • STAT 371: Intro to Mathematical Statistics, Fall 2014

Awards

• 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

Media

• https://research.facebook.com/teams/cas/blog/

• https://ai.meta.com/research/publications/the-llama-3-herd-of-models/

• https://research.facebook.com/blog/2022/8/-introducing-the-ground-truth-maturity-framework-for-assessing-and-improving-ground-truth-data-quality/

• https://research.facebook.com/blog/2022/6/research-highlights-from-the-core-data-science-team-at-meta/

• https://research.facebook.com/blog/2021/6/core-data-science-researchers-discuss-joining-facebook-without-backgrounds-in-computer-science/

• https://statistics.ucdavis.edu/events/seminar-013020-zhang