Student-led Projects
Student-led Projects
Yujue Li et al., Analyzing cross-trait genetic architecture with the BIGA cloud computing platform (2026). Journal of the American Statistical Association.
Juan Shu et al., Inferring multi-organ genetic connections using imaging and clinical data through Mendelian randomization (2025). Nature Biomedical Engineering.
(2023 ASHG Reviewers' Choice Award Winner (top 10%))
Yijun Fan et al., Mapping rare protein-coding variants on multi-organ imaging traits (2025). Nature Communications.
(2024 ASHG Reviewers' Choice Award Winner (top 10%))
Buxin Su et al., How to find fantastic AI papers: Self-rankings as a powerful predictor of scientific impact beyond peer review (2025). arXiv.
Tianqi Shang et al., DynamiCare: A dynamic multi-agent framework for interactive and open-ended medical decision-making (2025). arXiv.
Juan Shu et al., Contextualizing molecular and structural aging across human organs (2025). medRxiv.
Buxin Su et al., On self-training of summary data with genetic applications (2025). arXiv.
Zirui Fan et al., The landscape of plasma proteomic links to human organ imaging (2025). medXiv.
Xiaojing Sun et al., Generalized heterogeneous functional model with applications to large-scale mobile health data (2025). arXiv.
(2025 ICSA Jiann-Ping Hsu Pharmaceutical and Regulatory Sciences Student Paper Award)
(2024 ASA Student Paper Competition Award Honorable Mention, Mental Health Statistics Section)
Haoxuan Fu et al., Uncertainty of high-dimensional genetic data prediction with polygenic risk scores (2024). arXiv.
Buxin Su et al., The exact risks of reference panel-based regularized estimators (2024). arXiv.
(2024 ASA Student Paper Competition Award Winner, Statistical Learning and Data Science Section)
Zirui Fan et al., The role of sleep in the human brain and body: insights from multi-organ imaging genetics (2024). medRxiv.
Xiaochen Yang et al., Multi-organ imaging-derived polygenic indexes for brain and body health (2023). medRxiv.
(2024 ASA Student Paper Competition Award Winner, Section on Statistics in Genomics and Genetics)
(2023 ASHG Reviewers' Choice Award Winner (top 10%))
Mentoring
Postdoctoral Researchers
Zhirui Li (UPenn Statistics & Data Science)
Zichen Zhang (UPenn Statistics & Data Science)
Ph.D. Thesis Students
Zirui Fan (UPenn Statistics & Data Science)
Yujue Li (Purdue Statistics; co-advised with Fei Xue)
Buxin Su (UPenn AMCS)
Eddie Yang (UPenn Statistics & Data Science; co-advised with Nancy Zhang)
Yuxin Li (UPenn AMCS)
Graduate Students
Yuxin Guo (Purdue PULSe Program, the Paschou Lab)
Bingxuan Li (UIUC Computer Science)
Fred Zhang (UPenn Statistics & Data Science)
Cameron Beeche (UPenn Bioengineering, the Witschey and Chirinos Labs)
Zhaoqian Xue (UPenn Biostatistics, Jin Jin Lab)
Zhijie Duan (UPenn Biostatistics, Jin Jin Lab)
Undergraduate Researchers
Lucy Pu (UPenn Bioengineering)
William Huang (UPenn Computer Science)
Shenmin Zhang (UPenn Computer Science)
Alumni
Ph.D. Thesis
Xiaochen Yang (Purdue Statistics; Current Position: Software Engineer, Google LLC)
Kai Xia (UNC Biostatistics; Current Position: Associate Professor, Department of Psychiatry, UNC Chapel Hill)
Master's Thesis
Jingxuan Bao (UPenn GCB Program, the Shen Lab)
Max Dudek (UPenn GCB Program, Grant Laboratory)
Graduate
Ju'An Shu (Purdue Statistics)
Yijun Fan (UPenn AMCS)
Xiyao Wang (Columbia Computer Science)
Tianqi Shang (JHU Computer Science)
Zhenyi Wu (Purdue Statistics)
Dezheng Ding (UPenn ESE)
Carlos Copana (Purdue Statistics)
Shan Su (Purdue Statistics)
Danyang Wang (Purdue Statistics)
Undergraduate
Xieheng Wang (Tsinghua University)
Chun Wang (Purdue Mathematics)
Ethan Yu (2023 Penn Undergraduate Research Mentoring Program)
Yixiao Wang (University of Science and Technology of China)
Lavanya Neti (Wharton Statistics & Finance)
Eleftherios Lazarinis (2024 Penn Undergraduate Research Mentoring Program)
Aravind Krishnan (Vagelos Program in Life Sciences & Management, Wharton Research Scholars Program, 2024 Truman Scholar, Inaugural Sarah Katz Award Recipient)