CV

Education

• 2024 – Present: Ph.D. in Data Science, University of Chicago
• Sep 2020 – May 2024: B.A. in Mathematics & Computer Science, Business Minor, New York University
  • Courant Institute — focus on statistical learning, optimization, and data engineering.

Awards

• 2018: National Olympiad of Informatics in Province — First Prize

Publications

• H. Bao, J. Zhang, M. Cao, and J. Evans. “From Division to Unity: A Large-Scale Study on the Emergence of Computational Social Science, 1990–2021.” *The Web Conference (WWW) 2025. https://dl.acm.org/doi/10.1145/3701716.3715502
• S. Heng, J. Zhang, and Y. Feng. “Design-based causal inference with missing outcomes: missingness mechanisms, imputation-assisted randomization tests, and covariate adjustment.” Journal of the American Statistical Association (Theory and Methods). https://www.tandfonline.com/doi/full/10.1080/01621459.2025.2516204

(co-first author on both publications)

Teaching

• Spring 2025: Teaching Assistant, DATA 22100 Introduction to Machine Learning — University of Chicago
• Fall 2023: Teaching Assistant, GPH-GU 2363 Causal Inference: Design and Analysis — New York University