Jimeng Sun

Dr. Jimeng Sun is a Health Innovation Professor at the Siebel School of Computing and Data Science and Carle Illinois College of Medicine at the University of Illinois Urbana-Champaign. Co-founder of Keiji AI, he leads groundbreaking research at the intersection of artificial intelligence and healthcare, actively deploying clinical AI systems and developing frameworks like PyHealth and Therapeutics Data Commons.

His research spans four major areas:

• Clinical AI Systems: Developing interpretable models (e.g., RETAIN) for patient similarity, temporal event prediction, medication recommendation, and clinical outcome forecasting
• Drug Discovery: Creating molecular optimization frameworks, drug-target interaction models, and AI-driven platforms
• Clinical Trials: Pioneering patient-trial matching, outcome prediction, and optimization frameworks using deep learning and graph neural networks
• Biosignal Analysis: Advancing sleep staging, seizure classification, and automated EEG/Cardiac monitoring systems

With over 500 top-tier publications (including in Nature, NEJM AI, and leading AI conferences) and an h-index of 99, his work has been recognized with the Top 100 AI Leaders in Drug Discovery and Advanced Healthcare award. He maintains active collaborations with institutions like Massachusetts General Hospital, Medidata Solutions, and OSF Healthcare.

His recent publications reveal a strong focus on:

• Reinforcement learning applications in medical data analysis
• Large language model adaptation for clinical tasks
• Knowledge graph integration with AI systems
• Synthetic data generation for healthcare
• Multi-modal learning in clinical contexts
• Explainable AI for medical applications

Dr. Sun's lab (Sunlab) emphasizes practical impact over theoretical work, actively collaborating with hospitals and healthtech companies. He welcomes contributions from clinicians, researchers, and industry partners through initiatives like his AI for Health webinar series.