Jiawei Zhang

Jiawei Zhang

Data Science Ph.D. student focusing on LLMs and causal inference.

Jiawei Zhang

Education

  • Ph.D. in Data Science, University of Chicago
    2024 – Present

  • B.A. in Mathematics & Computer Science, Business Minor, New York University
    Sep 2020 – May 2024

Selected 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.” Accepted at The Web Conference (WWW) 2025. (co-first author) DOI
  • S. Heng, J. Zhang, and Y. Feng. “Design-based causal inference with missing outcomes: missingness mechanisms, imputation-assisted randomization tests, and covariate adjustment.” Accepted at Journal of the American Statistical Association (Theory and Methods). (co-first author) DOI

Selected Software

  • python-iArt / iArt (R) — Open-source packages for Imputation-Assisted Randomization Tests. Documentation
  • scikit-learn / Pandas

Research Interests

  • LLM reinforcement learning, interpretability, alignment
  • Causal inference