2
12
18
28
12
12
1a
14
e
12
16
a
a
2
2
a
20
32
1a
2a
19
Faculty
61 16
19
1
49
2
2
1a
32
34
1b
1d
18
2a
5a
1d
2 29
1d
25
Jin Jin, PhD
88
5a
Assistant Professor of Biostatistics and Epidemiology
7
75
Department: Biostatistics and Epidemiology
4
1
23
1f
Graduate Group Affiliations
8
a
b
1d
46
Contact information
49
4
3
3
3
2
4
b
1f
49
University of Pennsylvania
23 Perelman School of Medicine
41 Department of Biostatistics, Epidemiology and Informatics
19 203 Blockley Hall
3a 423 Guardian Drive
Philadelphia, PA 19104-6021
26
23 Perelman School of Medicine
41 Department of Biostatistics, Epidemiology and Informatics
19 203 Blockley Hall
3a 423 Guardian Drive
Philadelphia, PA 19104-6021
35
9d
12
13
Education:
21 7 BS 17 (Statistics) c
78 School for the Gifted Young, University of Science and Technology of China, Hefei, Anhui, China, 2014.
21 7 MS 1a (Biostatistics) c
59 University of Minnesota School of Public Health, Minneapolis, MN, 2016.
21 8 PhD 1a (Biostatistics) c
59 University of Minnesota School of Public Health, Minneapolis, MN, 2019.
c
3
27
5
3
3
92
Permanent link21 7 BS 17 (Statistics) c
78 School for the Gifted Young, University of Science and Technology of China, Hefei, Anhui, China, 2014.
21 7 MS 1a (Biostatistics) c
59 University of Minnesota School of Public Health, Minneapolis, MN, 2016.
21 8 PhD 1a (Biostatistics) c
59 University of Minnesota School of Public Health, Minneapolis, MN, 2019.
c
2 29
21
1e
1d
24
76
e 29
27
Description of Research Expertise
68 Statistical genetics, Bayesian statistics, predictive modeling, Mendelian randomization.e 29
23
f9 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 6f AMlA 2025 Annual Symposium, Atlanta, GA Nov 2025 Notes: *Presenter, trainee in my lab.
12b 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.
13b 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.
130 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.
147 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.
186 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.
115 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.
1ab 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.
124 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.
2c
7
1d
1f
Selected Publications
122 Jiang S, Coleman K, Chen Z, Jin K, Liu Y, Lee DH, Hwang TH, Xiao R, Jin J, Walsh CA, Qian X, Wang L, Li M.: Reconstructing multi-scale tissue spatial architecture from single-cell RNA-seq with REMAP. bioRxiv Feb 2026.f9 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 6f AMlA 2025 Annual Symposium, Atlanta, GA Nov 2025 Notes: *Presenter, trainee in my lab.
12b 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.
13b 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.
130 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.
147 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.
186 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.
115 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.
1ab 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.
124 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.
2c
4d
22
22
7
10
a
a
2
2
19
18
10
22
10
11
c
5b © The Trustees of the University of Pennsylvania | Site best viewed a in a supported browser. | Site Design: 57 PMACS Web Team. 3 22
10
c