Jiawei Zhang

Jiawei Zhang

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

Posts by Collection

portfolio

publications

Design-based causal inference with missing outcomes: missingness mechanisms, imputation-assisted randomization tests, and covariate adjustment

Published in Journal of the American Statistical Association (Theory and Methods), 2025

Introduces imputation-assisted randomization tests and covariate adjustments for design-based causal inference with missing outcomes.

Recommended citation: Heng, S.*; Zhang, J.*; Feng, Y. (2025). “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). (co-first authors).
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From Division to Unity: A Large-Scale Study on the Emergence of Computational Social Science, 1990–2021

Published in The Web Conference (WWW) 2025, 2025

Examines three decades of publication data to trace how computational social science has converged across disciplines.

Recommended citation: Bao, H.*; Zhang, J.*; Cao, M.*; Evans, J. (2025). “From Division to Unity: A Large-Scale Study on the Emergence of Computational Social Science, 1990–2021.” The Web Conference (WWW) 2025. (co-first authors).
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

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