Faculty

Jin Jin, PhD

Assistant Professor of Biostatistics and Epidemiology

Department: Biostatistics and Epidemiology

Graduate Group Affiliations

Contact information

University of Pennsylvania
Perelman School of Medicine
Department of Biostatistics, Epidemiology and Informatics
203 Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104-6021

Email:
jin.jin@pennmedicine.upenn.edu

Education:
BS (Statistics)
School for the Gifted Young, University of Science and Technology of China, Hefei, Anhui, China, 2014.
MS (Biostatistics)
University of Minnesota School of Public Health, Minneapolis, MN, 2016.
PhD (Biostatistics)
University of Minnesota School of Public Health, Minneapolis, MN, 2019.

Links
Personal Website

Permanent link

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Description of Research Expertise

Statistical genetics, Bayesian statistics, predictive modeling, Mendelian randomization.

Selected Publications

Duan, Z.*, Wei, K., Xue, Z., Zhou, J., Yang, S., Ma, S., Jin, J.: Crowdsourcing-Based Knowledge Graph Construction for Drug Side Effect Using Large Language Models with an Application on Semaglutide AMlA 2025 Annual Symposium, Atlanta, GA Nov 2025 Notes: *Presenter, trainee in my lab.

Lee, D.H.*, Yao, S., Li, W., Jiang, S., Jin, J., Li, M.: MANNER: Morphology-Aware Neural Network for Expression Recovery. Poster Presentation, ASHG 2025 Annual Meeting, Boston, MA Oct 2025 Notes: *Presenter, trainee in my lab.

Lakkis, A.*, Jin, J.: Mendelian Randomization Analysis on Latent Exposures Leveraging Information from High-Dimensional Surrogate Traits. Poster Presentation, ASHG 2025 Annual Meeting, Boston, MA Oct 2025 Notes: *Presenter, trainee in my lab.

Ji, C., Lee, S., Sequeira, S., Jin, J., Zhang, A.: Understanding the Causal Impact of Brain Structure-Function Coupling on ADHD during Early Adolescence with Mendelian Randomization. Under review at Biological Psychiatry Sept 2025.

Yu, Y., Lakkis, A., Zhao, B., Jin, J.* : Bayesian Mendelian Randomization Analysis on Latent Exposures Leveraging Information from Surrogate Traits. Poster Presentation, 2025 IMS New Researcher Conference (NRC), Nashville, TN July 2025 Notes: *Presenter.

Duan, Z., Wei, K., Xue, Z., Zhou, J., Yang, S., Ma, S. and Jin, J.: Crowdsourcing-Based Knowledge Graph Construction for Drug Side Effects Using Large Language Models with an Application on Semaglutide. arXiv. Accepted by the AMIA 2025 Annual Symposium Apr 2025 Notes: arXiv:2503.20981.

Xu, X., Xue, Z., Zhang, C., Medri, J., Xiong, J., Zhou, J., Jin, J., Zhang, Y., Ma, S. Li, L.: Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction. arXiv. Under Review at IEEE Journal of Biomedical and Health Informatics Mar 2025 Notes: arXiv:2503.20981.

Su, B., Huang, J., Jin, J., Zhao, B.: On self-training of summary data with genetic applications. arXiv. Under review at Journal of the Royal Statistical Society Series B Mar 2025 Notes: arXiv:2503.12155.

Jin, J., Li, B., Wang, X., Yang, X., Li, Y., Wang, R., Ye, C., Shu, J., Fan, Z., Xue, F., Ge, T., Ritchie, M.D., Pasaniuc, B., Wojcik, G., Zhao, B.: PennPRS: a Centralized Cloud Computing Platform for Efficient Polygenic Risk Score Training in Precision Medicine. medRxiv. Under review at Nature Genetics Feb 2025 Notes: doi: 10.1101/2025.02.07.25321875.

Wang, R., Fang, L., Wang, Y., Jin, J.: Identifying Effect Modification of Latent Population Characteristics on Risk Factors with a Sparse Latent Factor Regression. bioRxiv Dec 2024 Notes: doi: 10.1101/2024.11.30.626101.