Causal Inference
Adaptive Experiments
Precision Medicine
Machine Learning and Artificial Intelligence
My research team works on causal inference, experimental design, precision medicine, and machine learning and artificial intelligence methods for healthcare. Our team also develops ML and AI approaches in collaboration with researchers to better understand the heterogeneity of Alzheimer’s disease and to design interventions for HIV prevention and care in Tanzania. I serve on the editorial boards for the Journal of the Royal Statistical Society, Series B (Statistical Methodology), and the Journal of Biopharmaceutical Statistics.
I hosted a workshop on "Experimental Designs in the Era of Artificial Intelligence" on March 7-8, 2025 at UC Berkeley, where we were fortunate to have a distinguished group of speakers who shared their invaluable insights and expertise on related topics. More details can be found on the website: https://www.design-ai.site/Berkeley-2025/.
* Corresponding author, ** Mentee author, underline Co-first authors
Preprints:
Winner's curse free robust Mendelian Randomization with summary data. Xie, Z.**, Zhang, W., Wang, J.* and Wu, C*.
Mediation analysis with Mendelian Randomization and efficient multiple GWAS integration. (links to code and package) Lyv, R.**, Wu, C., Ma, X.* and Wang, J.*
On the theoretical investigation of mediation analysis with Mendelian Randomization and summary data. Lyv, R.**, Ma, X. and Wang, J.
Enhanced language models for predicting and understanding HIV care disengagement: A case study in Tanzania. Wei, W.**, Shao, J.**, Lyu, R.** Q., Hemono, R., Ma, X., Giorgio, J., Zheng, Z., Ji, F., Zhang, X., Katabaro, E., Mlowe, M., Sabasaba, A., Lister, C., Shabani, S., Njau, P., McCoy, S. I., and Wang, J.*
Covariate adjusted response adaptive design with delayed outcomes. X. Ma, J. Wang, W. Wei. (Authors are in alphabetical order)
Research journal publications:
Variable and interactive effects of Sex, APOE ε4 and TREM2 on the deposition of tau in entorhinal and neocortical regions. Giorgio, J., Jonson, C., Wang, Y., Yokoyama, J., Wang, J* and Jagust, W*. (2025) Nature Communications.
Adaptive experiments toward learning treatment effect heterogeneity. Wei, W.**, Ma, X. and Wang, J.* (2025) (This manuscript received ICSA Applied Statistics Symposium 2023 Student Paper Award) Journal of the Royal Statistical Society, Series B (Statistical Methodology)
Forward screening and post-screening inference in factorial designs. Shi, L.**, Wang, J.* and Ding, P. (2024) Annals of Statistics
Efficient quantile covariate adjusted response adaptive experiments. Li, Z., Luo, L., Wang, J.* and Feng, L.* (2024) Journal of Econometrics
Dynamic statistical inference in massive data streams. Wang, J., Du, L., Zou, C. and Wu, Z. (2024) Statistica Sinica
Treatment effect estimation with efficient and privacy-preserving data aggregation. Panigrahi, S., Wang, J.* and He, X. (2024) Bernoulli
Statistical inference for streamed longitudinal data. Luo, L., Wang, J. and Hector, E. (2023) Biometrika (selected as a discussion paper)
Breaking the winner's curse in Mendelian Randomization: rerandomized inverse weighted estimator. Ma, X, Wang, J.* and Wu C. (2023) Annals of Statistics (Authors are in alphabetical order)
Subgroup analysis and adaptive experiments crave for debiasing. Wang, J. and He, X. (2023) WIREs review
Sensitivity analysis with iterative outlier detection for systematic reviews and meta-analyses. Zhuo, M., Li, L., Wang, J. and Wu, C. (2023). Statistics in Medicine.
Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data. Guo, X., Wei, W.**, Liu, M., Cai, T., Wu, C. and Wang, J.* (2022). Journal of the American Statistical Association
Efficient targeted learning of heterogeneous treatment effects for multiple subgroups. Wei, W.**, Petersen, M., van der Laan, M., Wu, C.* and Wang, J.* (2022+). Biometrics (This paper received ASA Nonparametric Statistics Section 2022 Student Paper Award)
Inference on the best policies with many covariates. Wei, W.**, Zhou, Y.**, Zheng, Z. and Wang, J.* (2022). Journal of Econometrics
Comments on "two cultures:" what has changed over 20 years? He, X. Wang, J. (2021). Observational studies
Robust inference using inverse probability weighting. Ma, X. and Wang, J. (2020). Journal of the American Statistical Association (Authors are in alphabetical order)
Debiased inference on treatment effect in a high dimensional model. Wang, J., He, X., and Xu, G. (2019). Journal of the American Statistical Association. (An earlier version of this paper received ASA Nonparametric Statistics Section 2018 Student Paper Award)
Machine learning conference proceedings:
Enhancing language model with both human and artificial intelligence feedback data. Zhang H., He J., Xu J., Wang J., Zheng Z. (2024) Winter Simulation Conference (This paper received Best Theoretical Paper Award at the 2024 Winter Simulation Conference)
Dynamic subgroup identification in covariate-adjusted response-adaptive randomization experiments. Li, Y.**, Wang, J., and Wei, W. (2024) Neural Information Processing Systems (NeurlPS)
Using surrogates in covariate-adjusted response-adaptive randomized experiments with delayed outcomes. Shi, L.**, Wei, W., and Wang, J. (2024) Neural Information Processing Systems (NeurlPS)
Fair adaptive experiments. Wei, W.**, Ma, X. and Wang, J.* (2023) Neural Information Processing Systems (NeurlPS)
Statistical inference on multi-armed bandits with delayed feedback. Shi, L.**, Wang, J. and Wu, T. (2023). International Conference on Machine Learning (ICML)
Other collaborative journal publications:
Rapid Biphasic Decay of Intact and Defective HIV DNA Reservoir During Acute Treated HIV Disease. Barbehenn, A., Shi, L.**, Shao, J.**, Hoh, R., Hartig, H.M., Pae, V., et al., Wang, J., Deeks, S.G., and Lee, S.A. (2024). Nature Communications.
Rudi Kundini, Pamoja Kundini (RKPK): study protocol for a hybrid type 1 randomized effectiveness-implementation trial using data science and economic incentive strategies to strengthen the continuity of care among people living with HIV in Tanzania. Kadota, J.L., Packel, L.J., Mlowe, M., Ulenga., N, Mwenda., N, Njau., P.F., Dow, WH, Wang, J., Sabasaba, A., McCoy, S. (2024). Trials
A robust harmonization approach for cognitive data from multiple aging and dementia cohorts. Giorgio, J., Tanna, A., Malpetti, M., White, S.R., Wang, J., Baker, S., Landau, S., Tanaka, T., Chen, C., Rowe, J.B., O'Brien, J. (2023) Alzheimer's & Dementia: Diagnosis, Assessment \& Disease Monitoring
Machine learning with routine electronic medical record data to identify people at high risk of disengagement from HIV care in Tanzania. Fahey, C., Wei, W.**, Njau, P., Shabani. S., Kwilasa, S., Maokola. W., Packel, L., Zheng, Z., Wang, J.* and McCoy SI.*. (2022). PLOS global public health
Systematic identification of modifiable risk factors and drug repurposing options for Alzheimer’s disease: Mendelian randomization analyses. Wu, C., Wu, L., Wang, J., Lin, L., Li, Y., Lu, Q., and Deng, C.. (2020). Alzheimer's & Dementia
Hemodialysis exacerbates proteolytic imbalance and pro-fibrotic platelet dysfunction Velasquez-Mao, A. J., Velasquez, M. A., Hui, Z., Armas-Ayon, D., Wang, J., & Vandsburger, M. H. (2021). Scientific report
Effect of routine sport participation on short-term clinical neurological outcomes: A comparison of non-contact, contact, and collision sport athletes. Eckner, J.T., Wang, J., Nelson, L., Bancroft, R., Pohorence, M., He, X., Broglio, S. P., Giza, C. C., Guskiewicz, K. M., Kutcher, J. S., and McCrea, M. (2019). Sports Medicine
NIH award R01AG089512 (PI), 2025-2030
Hellman Fellow (PI), 2024-2025
NSF CAREER award DMS-2239047 (PI), 2023-2028
NSF award DMS-2220537 (PI), 2023-2026
NIH award R01MH125746 2021-2026 (PI)
NSF award DMS-2015325 (PI), 2019-2023