Russ B. Altman

Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science, and Senior Fellow at the Stanford Institute for HAI

AB (summa cum laude), Harvard College, Biochemistry and Molecular Biology (1983)
PhD, Stanford University, Medical Information Sciences (1989)
MD, Stanford University, Medicine (1990)
Academic Appointments
Professor, Bioengineering
Professor, Genetics
Professor, Medicine - Biomedical Informatics Research
Professor, Biomedical Data Science
Senior Fellow, Institute for Human-Centered Artificial Intelligence (HAI)
Member, Bio-X
Member, Cardiovascular Institute
Member, Wu Tsai Human Performance Alliance
Member, Maternal & Child Health Research Institute (MCHRI)
Member, Stanford Cancer Institute
Boards, Advisory Committees, Professional Organizations
Global Health Faculty Fellow, Center for Innovation in Global Health (CIGH) (2024 - Present)
Co-Founder, (2013 - Present)
Editor-in-Chief, Annual Reviews of Biomedical Data Science (2016 - Present)
Board of Directors, (2018 - Present)
Advisor, Vanderbilt University Medical School (2014 - Present)
Advisor, NIH Advisory Committee to the Director (ACD) (2013 - 2017)
Member, FDA Commissioner Science Board (2011 - 2014)
Co-Organizer, Pacific Symposium on Biocomputing ( (1995 - Present)
Honors & Awards
Teaching Honor Roll, Tau Beta Pi (2020)
Excellence in Graduate Teaching Award, Stanford Biosciences (2020)
Fellow, American Association for the Advancement of Science (2014)
Stanford Medical School Mentorship Award, Stanford Medical School (2014)
Fellow, International Society for Computational Biology (2010)
Member, Institute of Medicine of the National Academies (2009)
Fellow, American Institute for Medical and Biological Engineering (2007)
Award for Excellence in Graduate Teaching, Stanford Medical School (2000)
Fellow, American College of Medical Informatics (1998)
Fellow, American College of Physicians (1998)
Russ Biagio Altman is the Kenneth Fong Professor of Bioengineering, Genetics, Medicine, Biomedical Data Science and (by courtesy) Computer Science) and past chairman of the Bioengineering Department at Stanford University. His primary research interests are in the application of computing (AI, data science and informatics) to problems relevant to medicine. He is particularly interested in methods for understanding drug action at molecular, cellular, organism and population levels. His lab studies how human genetic variation impacts drug response (e.g., Other work focuses on the analysis of biological molecules to understand the actions, interactions and adverse events of drugs (e.g., He helps lead an FDA-supported Center of Excellence in Regulatory Science & Innovation.

Dr. Altman holds an AB from Harvard College, and an MD from Stanford Medical School, and a PhD in Medical Information Sciences from Stanford. He received the U.S. Presidential Early Career Award for Scientists and Engineers and a National Science Foundation CAREER Award. He is a fellow of the American College of Physicians (ACP), the American College of Medical Informatics (ACMI), the American Institute of Medical and Biological Engineering (AIMBE), and the American Association for the Advancement of Science (AAAS). He is a member of the National Academy of Medicine. He is a past-president, founding board member, and a fellow of the International Society for Computational Biology (ISCB), and a past-president of the American Society for Clinical Pharmacology & Therapeutics (ASCPT). He has chaired the Science Board advising the FDA commissioner, and has served on the NIH Director’s Advisory Committee, and as cochair of the IOM Drug Forum. He is an organizer of the annual Pacific Symposium on Biocomputing, and a founder of Personalis (NASDAQ: PSNL). Dr. Altman is board certified in Internal Medicine and in Clinical Informatics. He received the Stanford Medical School graduate teaching award in 2000 and 2020, and the mentorship award in 2014. He is the founding editor of the Annual Reviews of Biomedical Data Science, and hosts a podcast entitled “The Future of Everything.”


(650) 725-0659

Research Interests