My name is Xuanyu Shi.

I am a postdoctoral fellow and assistant researcher at the Institute of Medical Technology, Peking University Health Science Center. My research focuses on the application of artificial intelligence and knowledge graphs to cancer epidemiology, including biomedical literature mining, automated evidence synthesis, causal knowledge networks, and evidence triangulation across study designs.

I received my PhD in Health Data Science from Peking University in 2026 under the supervision of Dr. Jian Du. My postdoctoral supervisor is Prof. Qimin Zhan.

Education

2022-2026, PhD, Health Data Science, Peking University, Beijing, China
2018-2020, MS, Data Science, Drexel University, Philadelphia, PA, USA
2013-2017, BS, Statistics, University of Iowa, Iowa City, IA, USA

Professional Experience

2026-present, Postdoctoral Fellow and Assistant Researcher, Institute of Medical Technology, Peking University Health Science Center, Beijing, China
2020-2022, Research assistant, National Institute of Health Data Science, Peking University, Beijing, China
2018-2018, Summer intern, Department of Data Platform, Megvii, Beijing, China
2017-2018, Business analyst intern, Forepont Capital Partners, New York, NY, USA
2016-2016, Risk management intern, Department of Risk Management, Generali China, Beijing, China

Academic Service

Conference reviewer:

• AMIA 2025

Journal reviewer:

• Health Data Science
• Scientific Data
• Frontiers in Endocrinology
• Frontiers in Public Health

Leadership and editorial roles:

• Deputy Secretary-General, Artificial Intelligence Committee, Chinese Society of Microcirculation (2026-present)
• Young Editorial Board Member, Interdisciplinary Nursing Research (2026-present)

Research Projects

Current projects:

• Participant, National Natural Science Foundation of China Key Program, “Epidemiological Methods for Big Data-Driven Active Post-Marketing Surveillance of Vaccine Safety” (82330107)
• Participant, Michigan Medicine-PKUHSC Joint Institute Award (BMU2026JIUM001)

Previous projects:

• Participant, National Key R&D Program of China Young Scientists Project, “Development of a Suite of Tools for Automatically Generating Causal Graphs from Biomedical and Epidemiological Research Data” (2022YFF0712000)
• Participant, National Natural Science Foundation of China General Program, “Theory, Methods, and Applications of Representing and Measuring Uncertain Scientific Knowledge: A Medical Case Study” (72074006)

These projects have provided experience in directed acyclic graph construction, knowledge uncertainty analysis, and bias control in real-world studies.

Publications

[1st author, Nature Communications 2025] Xuanyu Shi, Wenjing Zhao, Ting Chen, Chao Yang, Jian Du. Evidence triangulator: using large language models to extract and synthesize causal evidence across study designs. Nature Communications, 2025, 16: 7355.

[Science Bulletin 2025] Xin Guo, Jiakang Huo, Wanwei Dai, Tong Wang, Han Xiao, Wenjing Zhao, Xuanyu Shi, Xueheng Wang, Yang Gao, Zhi Li, Rui Zhan, Wenli Xu, Jian Du, Erdan Dong. Global rehabilitation research equality index across health conditions during 1990–2019: an alignment analysis between bibliographic and epidemiological data. Science Bulletin, 2025, 70(7): 1057-1061.

[Annals of the New York Academy of Sciences 2025] Liubai Li, Jian Du, Feng Sun, Zhixia Li, Tianjiao Chen, Xuanyu Shi. Diet therapy for the management of obesity in children and adolescents: Overview of systematic reviews and meta‐analysis of randomized controlled trials. Annals of the New York Academy of Sciences, 2025, 1547(1): 41-51.

[Annals of the New York Academy of Sciences 2025] Liubai Li, Feng Sun, Jian Du, Zhixia Li, Tianjiao Chen, Xuanyu Shi. Behavior‐change lifestyle interventions for the treatment of obesity in children and adolescents: A scoping review. Annals of the New York Academy of Sciences, 2025, 1543(1): 31-41.

[1st author, Health Data Science 2024] Xuanyu Shi, Daoxin Yin, Yongmei Bai, Wenjing Zhao, Xin Guo, Huage Sun, Dongliang Cui, Jian Du. A Bibliographic Dataset of Health Artificial Intelligence Research. Health Data Science, 2024, 4: 0125.

[1st author, Preprint 2024] Xuanyu Shi, Wenjing Zhao, Ting Chen, Chao Yang, Jian Du. A Large Language Model Approach to Extracting Causal Evidence across Study Designs for Evidence Triangulation. 2024.

[Journal of Evidence‐Based Medicine 2024] Yongmei Bai, Xuanyu Shi, Jian Du. A computable biomedical knowledge system: Toward rapidly building candidate‐directed acyclic graphs. Journal of Evidence‐Based Medicine, 2024, 17(2): 307-316.

[1st author, Scientific Data 2024] Xuanyu Shi, Jian Du. Constructing a finer-grained representation of clinical trial results from ClinicalTrials.gov. Scientific Data, 2024, 11(1): 41.

[1st author, ISSI 2023] Xuanyu Shi, Shiyao Xie, Wenjia Wang, Ting Chen, Jian Du. An automated approach to extracting positive and negative clinical research results. Proceedings of the 19th International Conference of the International Society for Scientometrics and Informetrics, 2023, 1: 571-578.

[1st author, Journal of Informetrics 2022] Xuanyu Shi, Jian Du. Distinguishing transformative from incremental clinical evidence: A classifier of clinical research using textual features from abstracts and citing sentences. Journal of Informetrics, 2022, 16(2): 101262.

[Frontiers of Medicine 2022] Huai-yu Wang, Suyuan Peng, Zhanghui Ye, Pengfei Li, Qing Li, Xuanyu Shi, Rui Zeng, Ying Yao, Fan He, Junhua Li, Liu Liu, Shuwang Ge, Xianjun Ke, Zhibin Zhou, Gang Xu, Ming-hui Zhao, Haibo Wang, Luxia Zhang, Erdan Dong. Renin-angiotensin system inhibitor is associated with the reduced risk of all-cause mortality in COVID-19 among patients with/without hypertension. Frontiers of Medicine, 2022, 16(1): 102-110.

[Nephrology Dialysis Transplantation 2020] Suyuan Peng, Huai-Yu Wang, Xiaoyu Sun, Pengfei Li, Zhanghui Ye, Qing Li, Jinwei Wang, Xuanyu Shi, Liu Liu, Ying Yao, Rui Zeng, Fan He, Junhua Li, Shuwang Ge, Xianjun Ke, Zhibin Zhou, Erdan Dong, Haibo Wang, Gang Xu, Luxia Zhang, Ming-Hui Zhao. Early versus late acute kidney injury among patients with COVID-19—a multicenter study from Wuhan, China. Nephrology Dialysis Transplantation, 2020, 35(12): 2095-2102.