Dr. Jimeng Sun
Health Innovation Professor
University of Illinois Urbana-Champaign
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. He is also the co-founder of Keiji AI, a pioneering company leveraging artificial intelligence to transform clinical trials through optimization and predictive modeling. His work at Keiji AI includes optimizing trial design, patient recruitment, and outcome prediction to accelerate drug development and improve success rates.
Dr. Sun's research centers on using AI to advance healthcare, with a special focus on improving clinical trials, clinical decision support, drug discovery, computational phenotyping, and clinical predictive modeling. He has been named one of the Top 100 AI Leaders in Drug Discovery and Advanced Healthcare and has an extensive academic impact, with over 500 publications, more than 40,000 citations, and an h-index of 99.
Dr. Sun collaborates with top healthcare institutions, including Massachusetts General Hospital, Beth Israel Deaconess Northwestern Vanderbilt and OSF Healthcare, as well as industry leaders such as IQVIA, Medidata and GE Healthcare. He received his B.S. and M.Phil. in computer science from the Hong Kong University of Science and Technology and his Ph.D. from Carnegie Mellon University.
Academic & Professional Profiles
Join Sunlab: Where AI Meets Real-World Healthcare Impact
At Sunlab, we're not just publishing papers—we're building real-world AI systems that improve healthcare. Led by Prof. Jimeng Sun, we work on cutting-edge topics like clinical foundation models, interpretable ML, and generative AI for medicine. You'll get to collaborate with top hospitals, industry leaders, and an ambitious team pushing the boundaries of what's possible in AI for health.
If you want your research to matter—not just in theory, but in practice—Sunlab is the place to be.
For Prospective CS Students
Interested in applying AI to healthcare? Join Sunlab to work on cutting-edge research at the intersection of machine learning and medicine. To get started, check out PyHealth—our open-source framework for healthcare ML—and contribute a pull request. Then reach out to me to discuss further opportunities!
Explore PyHealthFor Industry Collaborators
We welcome collaborations with hospitals, pharma, and healthtech companies. At Sunlab, we have a strong track record of delivering robust models, scalable software, and high-impact publications through joint projects. Feel free to contact me directly to explore partnership opportunities.
Contact usFor Medical students, Residents and Fellows
Sunlab is looking for motivated clinicians with coding skills (Python or R), basic machine learning knowledge, and at least two months of dedicated time to work on impactful research projects in predictive modeling and generative AI. This is a great opportunity to build technical skills, contribute to publications, and stand out in academic medicine or digital health. If interested, please email me your CV and code samples.
Contact usOur AI for Health webinar series brings together cutting-edge research, real-world applications, and thought leaders from academia and industry to explore how AI is transforming healthcare. Whether you're a student passionate about impact-driven innovation or a collaborator from pharma, hospitals, or tech, this series is your gateway to the latest in predictive modeling, clinical decision support, and beyond.
Be part of the conversation shaping the future of AI in medicine.
Publications
View Dr. Sun's research publications, conference papers, and journal articles.
Browse PublicationsSoftware
Explore PyHealth, our comprehensive Python library for healthcare predictive modeling.
View Software