Stanford Division of Computational Medicine
Mark Musen MD, PhD
Division Chief & Professor of Medicine, Computational Medicine
Message from the Division Chief:
The Division of Computational Medicine in the Department of Medicine develops the information science, computational technology, and standards needed to advance modern healthcare and biomedical research efficiently and safely. Located at the Stanford Research Park, we create and apply computational methods for the management, communication, and analysis of complex biomedical data and knowledge. Our close connection with Stanford’s world-class healthcare delivery system, biomedical research community, and industry partners uniquely enables Computational Medicine to translate scientific discovery into tools that are used routinely in real-world settings.
Our Values
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Innovation
We champion bold ideas and novel computational approaches that push the boundaries of biomedical research and healthcare delivery.
Integrity
We uphold the highest standards of scientific rigor, transparency, and ethical responsibility in research and clinical applications.
Collaboration
We bring together diverse disciplines, from computer science and statistics to clinical medicine and public health, to foster teamwork and shared impact.
Education
We cultivate the next generation of computational medicine leaders by supporting training, mentorship, and interdisciplinary learning.
Latest News
AI and the Future of Asian Health: Advancing Precision Medicine Through Human Insight and Technology
In this kickoff session, Dr. Jonathan H. Chen examines how human expertise and AI work together to improve diagnosis, prevention, and treatment—particularly in tackling health disparities, cultural nuances, and underrepresentation in data that impact Asian communities. He also emphasizes the importance of preserving empathy and human understanding at the core of patient care. Drawing on his experience as both a physician and biomedical informatics scientist, Dr. Chen shares how AI is making healthcare more efficient, personalized, and data-driven.
Colloquium Seminar
Holistic Evaluation of Large Language Models for Medical Tasks with MedHELM
March 12, 2026 @ 12:00 pm-1:00pm
Speaker: Suhana Bedi
3rd Year Biomedical Data Science PhD Student
Stanford University
