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. 

• Zirui Fan et al., Multi-organ imaging genetics: Toward an integrated view of brain, body and brain diseases (2026). Nature Reviews Neurology. 

• Zirui Fan et al., The landscape of plasma proteomic links to human organ imaging (2026). Nature Communications. 

• Buxin Su et al., Self-rankings as a predictor of scientific impact beyond peer review (2026). Nature Computational Science.  

     (Highlighted by Nature Index; Nature Computational Science News & Views; Penn Today; Daily Pennsylvanian; and Wharton AI & Analytics Insight) 

• Juan Shu et al., Inferring multi-organ genetic connections using imaging and clinical data through Mendelian randomization (2026). 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 (2026). Nature Communications.  

     (2024 ASHG Reviewers' Choice Award Winner (top 10%))

• Tianqi Shang et al., DynamiCare: A dynamic multi-agent framework for interactive and open-ended medical decision-making (2026). AMIA Joint Summits on Translational Science Proceedings.  

• Zirui Fan et al., Multi-organ imaging and genetics show the impact of sleep patterns on the human brain and body (2026). Communications Medicine. 

• Jiawen Chen et al., Positioning manuscripts in the scientific landscape with agentic AI. (2026). arXiv. 

• Zichen Zhang et al., TigerAI: An AI-powered genetic evidence platform to support clinical development. (2026). bioXiv. 

• Xiaojing Sun et al., Statistical Proof as a Window into Human-AI Collaboration: Practical Insights and a Community Agenda. (2026). arXiv. 

• Jisen Li et al., Multi-Turn Agentic Scientific Literature Search via Workflow Induction. (2026). arXiv. 

• Jieyi Wang et al., BioInsight: Multi-Agent Orchestration for Interactive Biomedical Knowledge Discovery. (2026). arXiv. 

• Buxin Su et al., Supervised Finetuning with Synthetic Rationale Data Hurts Real-World Disease Prediction. (2026). 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.  

     (2026 New England Statistical Society Student Paper Competition Award)

• 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)

• 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