Geoff Tison
San Francisco, California, United States
Dr. Geoff Tison is a practicing physician with a specialization in machine learning and artificial intelligence in the domain of medicine.
He is a researcher at UCSF focusing on cardiovascular disease prevention, leveraging expertise in clinical research, advanced machine learning algorithms, and digital health.
Dr. Tison holds a background in epidemiology, statistical methods, and machine learning from Johns Hopkins Bloomberg School of Public Health and as a National Institutes of Health T32 scholar.
Currently, he is an investigator in the UCSF Health eHeart study and leads multiple active clinical studies at UCSF, with a keen interest in utilizing machine learning and deep-learning techniques for personalized cardiovascular prognosis and disease prevention.
His research projects encompass large cohorts such as the Multi-Ethnic Study of Atherosclerosis and the Women's Health Initiative.
Dr. Tison's educational background includes studies in Value-Based Care Delivery at Harvard Business School, a Masters in Public Health, Epidemiology, and Biostatistics from Johns Hopkins Bloomberg School of Public Health, Medical Doctor degree from The Johns Hopkins University School of Medicine, and a ScB in Neuroscience from Brown University.
His professional experience spans roles such as Assistant Professor-Medicine and Cardiology at UCSF, Medical Advisor at Cardiogram, Cardiologist at UCSF, Investigator at Health eHeart Study / Eureka, and former positions at prestigious organizations like Google, Cor, Symbiotic Health, Inc., and the US Department of Health and Human Services.
Dr. Tison's clinical expertise includes Internal Medicine and Cardiology, with a focus on disease prevention. He has led clinical research studies internationally and in the US, notably with the Johns Hopkins Ciccarone Center for Cardiovascular Prevention and the Harvard Institutes of Medicine.
In summary, Dr. Geoff Tison emerges as a dynamic professional blending medical practice with cutting-edge research in machine learning applied to healthcare with a strong emphasis on cardiovascular disease prevention.
