M.D., M.P.H., Cardiologist and an Assistant Professor, Division of Cardiology, UCSF Health
Dr. Tison is an Assistant Professor of Cardiology and Medicine at the University of California, San Francisco. His research focuses on cardiovascular disease prevention, using statistical and machine learning techniques to analyze large-scale data from both traditional medical sources and novel sensors. Dr. Tison received his M.D. and M.P.H. degrees from the Johns Hopkins Schools of Medicine and Public Health, and trained in internal medicine at the Johns Hopkins Hospital. He subsequently completed fellowships in clinical cardiology, advanced echocardiography and preventive cardiology at UCSF. He obtained formal training in epidemiology, statistics and machine learning during his tenure at the Johns Hopkins Bloomberg School of Public Health and as a National Institutes of Health T32 scholar.
Session Abstract – PMWC 2019 Silicon Valley
Session Synopsis: The integration of multiple ‘omics’ technologies will allow us to gain a more complete picture of the constituents and mechanisms of various diseases including cardiovascular disease. This session will touch upon various “omics” technologies – genomics, transcriptomics, proteomics, and microbiomics – and their applications to uncover the complexity in cardiovascular disease mechanism and progression.