Hi! I am a postdoctoral researcher in the Departments of Biostatistics and Medical Informatics and of Statistics at the University of Wisconsin-Madison, working under the supervision of Prof. Jiwei Zhao.

I received my Ph.D. in Statistics from the Institute of Statistics and Big Data at Renmin University of China in 2024, where I was advised by Prof. Chunrong Ai. Prior to that, I obtained my B.S. in Mathematics from Shandong University in 2019.

My research focuses on developing statistical methodology and theory for causal inference, missing data analysis, 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

• T. Ghosh†, J. Shan†, M. Yu†, and J. Zhao† (2026). Efficient estimation of average treatment effect on the treated under endogenous treatment assignment.
  R&R at Journal of Machine Learning Research.

• J. Shan, Y. Tu, G. Wang, C. Ying, and J. Zhao (2026). Beyond exchangeability: Distribution-shift-aware integration of external control data in randomized trials.

• X. Zhang, J. Shan*, and W. Li* (2026). Proximal mediation analysis with unmeasured treatment-induced confounding.

Peer-reviewed

• J. Shan, Z. Chen, Y. Dong, Y. Wang, and J. 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]

• J. Shan, W. Li, and C. Ai (2026). Efficient nonparametric inference for mediation analysis with nonignorable missing confounders.
  Journal of the American Statistical Association. In press.

• C. Ai and J. Shan* (2026). Efficient estimation of average treatment effects with unmeasured confounding and proxies.
  Statistica Sinica. In press.

• C. Ai, J. Shan*, and L. Zhu (2026). Kernel estimation of average treatment effects in models with unmeasured confounders.
  Canadian Journal of Statistics, 54(2), e70021. [Code]

• J. Shan, T. Wang, W. Li, and C. Ai (2025). Nonparametric estimation of path-specific effects in the presence of nonignorable missing covariates.
  Scandinavian Journal of Statistics, 52(4), 1556–1593.

• J. Shan and X. Yan (2024). Nonparametric causal inference with confounders missing not at random.
  Statistica Neerlandica, 78(4), 573–583.

Commentary

• J. Shan, C. Ying, and J. 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.

Talks

(* indicates scheduled presentations)

• SLDS 2026 Conference: Inference and Intelligence. New York, NY, USA. 11/2026*
• IFDS Research Expo (poster). University of Wisconsin–Madison, Madison, WI, USA. 08/2026*
• 2026 Joint Statistical Meetings. Boston, 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 Integration. Chicago, IL, USA. 06/2026
• ENAR 2026 Spring Meeting. Indianapolis, IN, USA. 03/2026
• BMI Seminar at University of Wisconsin–Madison. Madison, WI, USA. 11/2025
• 2025 Joint Statistical Meetings. Nashville, TN, USA. 08/2025
• The 8th National PhD Student Forum in Statistics. Guangzhou, China. 09/2024
• The 2nd Joint Conference on Statistics and Data Science. Kunming, 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 Economics. Xiamen, China. 11/2023

Services

Referee

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

AISTATS
ICML
NeurIPS
STAI-X

Contact

Email:
 jiawei <dot> shan <at> wisc.edu
 jiaw <dot> shan <at> gmail.com

Address: 6649 Morgridge Hall, 1205 University Ave, Madison, WI 53706, USA