PHAISE + EPI: The Basics of Machine Learning/Artificial Intelligence in Medicine (Part I)

Join us for the first installment of this two-part virtual series cohosted by PHAISE and Epi Biostat Seminars. 

Dr. Geoff Tison, M.D., M.P.H., will lead attendees through the basics of machine learning and artificial intelligence with an introduction to methodology in this one-hour online seminar. 

Featured Speaker

Dr. Tison brings expertise in clinical research, advanced machine learning algorithms and digital health to further his research goals in cardiovascular disease prevention. An expert in machine learning and artificial intelligence as applied to medicine, he obtained formal training in epidemiology, statistical methods, machine learning and clinical research during his tenure at the Johns Hopkins Bloomberg School of Public Health and as a National Institutes of Health T32 scholar. He has led multiple research projects in large cohorts such as the Multi-Ethnic Study of Atherosclerosis and the Women’s Health Initiative. Dr. Tison is an investigator in the UCSF Health eHeart study and leads several clinical research studies at UCSF. Dr. Tison’s current interests include applying machine learning and deep-learning techniques to large-scale electronic health data from heterogeneous sources to achieve the goal of personalized cardiovascular prognosis and disease prevention.

A cardiologist and an associate professor in the Division of Cardiology at the University of California, San Francisco (UCSF), Dr. Tison earned his Sc.B. in Neuroscience at Brown University and received his M.D. and M.P.H. degrees from the Johns Hopkins Schools of Medicine and Public Health. He completed internal medicine residency at the Johns Hopkins Hospital, and subsequently completed fellowships in clinical cardiology, advanced echocardiography and preventive cardiology at UCSF. He also served as the first UCSF “Digital Cardiology” fellow, where his efforts were focused on validating and improving various digital, mobile and medical-device-based technologies to achieve the greatest impact in clinical care and medical research.

Registration Details

Register for this seminar at this zoom link: https://jh.zoom.us/meeting/register/tJwvcuGtpjkiHtQvvi0jRvqs1Os1pkusH-Ba.

Attendees will only need to register once to attend all the seminars. Use the passcode and link at registration to access the seminar.

A recording of this seminar will be available on the PHAISE website and the EPI Summer Institute seminars page.