Research Areas
Dr. Sun's research focuses on developing AI systems that advance healthcare through innovative approaches to clinical decision support, drug discovery, and medical data analysis. Our work spans from foundational machine learning research to real-world clinical applications.
6
Research Areas
500+
Publications
40,000+
Citations
Research Area 1
AI for Healthcare & Clinical Decision Support
Developing interpretable AI systems that enhance clinical decision-making through predictive modeling, personalized medicine, and knowledge-driven healthcare analytics.
Representative Publications:
• GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs (ICLR 2024)
• Improving Medical Machine Learning Models with Generative Balancing for Equity and Excellence (npj Digital Medicine, 2025)
• And 2 more publications...
Research Area 2
Large Language Models for Medicine
Pioneering the application of large language models to medical domains, from clinical documentation and literature mining to patient-trial matching and medical coding.
Representative Publications:
• A Foundation Model for Human-AI Collaboration in Medical Literature Mining (arXiv 2025)
• Matching Patients to Clinical Trials with Large Language Models (Nature Communications, 2024)
• And 2 more publications...
Research Area 3
AI Drug Discovery & Molecular Design
Advancing drug discovery through AI-driven molecular design, drug-target interaction prediction, and therapeutic data analytics platforms.
Representative Publications:
• Artificial Intelligence Foundation for Therapeutic Science (Nature Chemical Biology, 2022)
• Scientific Discovery in the Age of Artificial Intelligence (Nature, 2023)
• And 2 more publications...
Research Area 4
Synthetic Healthcare Data & Privacy
Creating privacy-preserving synthetic healthcare data generation methods that maintain clinical utility while protecting patient confidentiality.
Representative Publications:
• Synthesize High-Dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model (Nature Communications, 2023)
• MediSim: Multi-granular Simulation for Enriching Longitudinal, Multi-modal Electronic Health Records (Patterns, 2025)
• And 1 more publications...
Research Area 5
Clinical Trial Intelligence & Optimization
Developing AI systems to optimize clinical trial design, patient recruitment, outcome prediction, and trial management through comprehensive data analytics.
Representative Publications:
• TrialPanorama: Database and Benchmark for Systematic Review and Design of Clinical Trials (arXiv 2025)
• PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development (arXiv 2023)
• And 1 more publications...
Research Area 6
Biosignal Analysis & Neurological Applications
Advancing automated analysis of biosignals including EEG, sleep monitoring, and neurological pattern recognition through deep learning and signal processing.
Representative Publications:
• BIOT: Biosignal Transformer for Cross-data Learning in the Wild (NeurIPS 2024)
• Development of Expert-level Classification of Seizures and Rhythmic Patterns during EEG Interpretation (Neurology, 2023)
• And 1 more publications...
Interested in Collaborating?
We welcome collaborations with researchers, clinicians, and industry partners. Our lab is always looking for motivated students and postdocs to join our team.