Jiawei Shan

Postdoctoral Researcher

Department of Biostatistics and Medical Informatics
Department of Statistics
University of Wisconsin-Madison

Hi! I am a postdoctoral researcher at the University of Wisconsin–Madison, working with Prof. Jiwei Zhao. I received my Ph.D. in Statistics in 2024 from the Institute of Statistics and Big Data at Renmin University of China, where I was advised by Prof. Chunrong Ai, and my B.S. in Mathematics from Shandong University in 2019.

My research focuses on developing statistical methodology and theory for causal inference, missing data, data integration, and machine learning. I am particularly interested in using semiparametric and nonparametric techniques to study robustness, efficiency, and the trade-offs between them.

I am always happy to chat about research, statistics, or really anything else, so feel free to reach out!

Publications

* indicates the corresponding author(s); † indicates alphabetical authorship or equal contribution.

Preprints

Jiawei Shan, Yiteng Tu, Guanbo Wang, Chao Ying, and Jiwei Zhao (2026).
Beyond exchangeability: Distribution-shift-aware integration of external control data in randomized trials.
Xiaoying Zhang, Jiawei Shan*, and Wei Li* (2026).
Proximal mediation analysis with unmeasured treatment-induced confounding.

Peer-reviewed

Trinetri Ghosh†, Jiawei Shan†, Menggang Yu†, and Jiwei Zhao† (2026).
Efficient estimation of average treatment effect on the treated under endogenous treatment assignment.
Journal of Machine Learning Research. In press.
Jiawei Shan, Zhifeng Chen, Yiming Dong, Yazhen Wang, and Jiwei Zhao (2026).
SADA: Safe and adaptive aggregation of multiple black-box predictions in semi-supervised learning.
The Annals of Applied Statistics. In press. [R Package]
Jiawei Shan, Wei Li, and Chunrong Ai (2026).
Efficient nonparametric inference for mediation analysis with nonignorable missing confounders.
Journal of the American Statistical Association. In press. [Supplementary Material]
Chunrong Ai and Jiawei Shan* (2026).
Efficient estimation of average treatment effects with unmeasured confounding and proxies.
Statistica Sinica. In press.
Chunrong Ai, Jiawei Shan*, and Liping Zhu (2026).
Kernel estimation of average treatment effects in models with unmeasured confounders.
Canadian Journal of Statistics, 54(2), e70021. [Codes]
Jiawei Shan, Ting Wang, Wei Li, and Chunrong Ai (2025).
Nonparametric estimation of path-specific effects in the presence of nonignorable missing covariates.
Scandinavian Journal of Statistics, 52(4), 1556–1593.
Jiawei Shan and Xinyu Yan (2024).
Nonparametric causal inference with confounders missing not at random.
Statistica Neerlandica, 78(4), 573–583.

Commentary

Jiawei Shan, Chao Ying, and Jiwei Zhao (2026).
Contribution to the discussion of “Augmented balancing weights as linear regression” by Bruns-Smith et al.
Journal of the Royal Statistical Society Series B: Statistical Methodology, 88(3), 733–736.

Presentations

* indicates a scheduled presentation.

SLDS 2026 Conference: Inference and IntelligenceNew York, NY, USA 11/2026*
IMSI Workshop on Statistical Foundations of Generative Modeling (poster)Chicago, IL, USA 10/2026*
IFDS Research Expo (poster)University of Wisconsin–Madison, Madison, WI, USA 08/2026
2026 Joint Statistical MeetingsBoston, MA, USA 08/2026
STAI-X 2026 (poster)Harvard University, Cambridge, MA, USA 07/2026
IMSI Workshop on New Horizons on Model Transportability and Data IntegrationChicago, IL, USA 06/2026
ENAR 2026 Spring MeetingIndianapolis, IN, USA 03/2026
BMI Seminar at University of Wisconsin–MadisonMadison, WI, USA 11/2025
2025 Joint Statistical MeetingsNashville, TN, USA 08/2025
The 8th National PhD Student Forum in StatisticsGuangzhou, China 09/2024
The 2nd Joint Conference on Statistics and Data ScienceKunming, China 07/2024
The 4th Symposium on “Big Data Econometrics Theory and Applications — Artificial Intelligence and Econometric Modeling”Xiamen, China 05/2024
The 2023 National PhD Student Forum in Quantitative EconomicsXiamen, China 11/2023

Service

Journal referee

Annals of Applied Statistics, Biometrics, Biometrical Journal, Biostatistics, Economics Letters, Epidemiology, Journal of Applied Statistics, Journal of Nonparametric Statistics, Journal of the Royal Statistical Society Series A, Scandinavian Journal of Statistics, Statistics & Probability Letters, TMLR

Conference referee

AISTATS ('26), ICML ('26), NeurIPS ('26), STAI-X ('26)

Contact

Email: jiawei <dot> shan <at> wisc.edujiaw <dot> shan <at> gmail.com
Address: 6649 Morgridge Hall, 1205 University Ave, Madison, WI 53706, USA