CV

Please contact me for the most recent CV PDF. The sections below summarize it.

Education

• 2022.09–2027.05
  (expected)
  Ph.D., Measurement, Evaluation, and Statistics

  Teachers College, Columbia University, NY, U.S.

  Dissertation: Toward Trustworthy Personalized Decision-Making: Feasibility, Interpretability, and Realistic Evaluation. Committee: Youmi Suk (chair), Bryan Keller, and Lawrence DeCarlo. Defense scheduled for February 2027.

• 2020.09–2021.09
  M.Ed., Quantitative Analytics

  University of Virginia, VA, U.S. Advisor: James Soland.

• 2010.09–2014.06
  B.Sc., Physics

  Harbin Normal University, Harbin, China.

Honors and awards

• 2026
  SREE Conference Attendance Grant, Society for Research on Educational Effectiveness.
• 2025
  Morton T. Embree Outstanding Contribution to Student Learning Award, Teachers College, Columbia University.
• 2025
  Provost's Grant for Conference Presentation, Teachers College, Columbia University.
• 2024
  Provost's Grant for Conference Presentation, Teachers College, Columbia University.
• 2024
  IEDMS Scholarship, International Educational Data Mining Society, EDM 2024, Atlanta, GA, U.S.
• 2023
  Doctoral Research Fellowship, Teachers College, Columbia University.
• 2017
  Outstanding Teacher Award, 1 of 400, New Oriental Education & Technology Group, Beijing, China.

Academic service

• 2026
  Reviewer, research methods, Society for Research on Educational Effectiveness (SREE).
• 2026
  Reviewer, SIG Data-Driven Decision Making in Education, AERA Annual Meeting.
• 2026
  Reviewer, AIR Forum.
• 2025, 2026
  Reviewer, American Causal Inference Conference (ACIC).
•  
  Discussant, 3rd Annual Conference on Advanced Quantitative Methods and Analytics for Public Policy Support.

Industry experience

• 2018.05–2022.08
  Deputy Manager, American Graduate Test Department

  New Oriental Education & Technology Group, Beijing, China. Strategic and operational leadership for a 65-person team of instructors and staff.

• 2014.05–2018.05
  Senior Researcher, GRE Instruction and Curriculum Design

  New Oriental Education & Technology Group, Beijing, China. Evaluated teaching and learning performance using quantitative methods and natural language processing.

Technical skills

• LLM & AI
  Multi-agent system design, LLM fine-tuning (LoRA), model distillation, and LLM evaluation.
• statistics
  Statistical computing and machine learning in R (tidyverse, grf, tmle, SuperLearner) and Python (PyTorch, scikit-learn, pandas, NumPy).
• computing
  High-throughput and parallel computing for large simulation studies (OSG Open Science Pool).
• tools
  SQL, SPSS, Stata, LaTeX, Git and GitHub.

Professional memberships

American Educational Research Association (AERA); Society for Research on Educational Effectiveness (SREE); Society for Causal Inference (SCI); International Educational Data Mining Society (IEDMS); Psi Chi, the International Honor Society in Psychology.