Marc Daniel Ryser
Assistant Professor in Population Health Sciences

Marc D. Ryser conducts research in cancer early detection, with a particular focus on breast cancer overdiagnosis and overtreatment. Using a multi-scale approach, his group generates and analyzes biologic, clinical and population data using a variety of mathematical, statistical and computational tools. Examples of ongoing projects include the evolutionary dynamics of early-stage breast cancer; decision support tools for early-stage breast cancer patients; and estimation of breast cancer overdiagnosis. Dr. Ryser has a keen interest in training the next generation of interdisciplinary researchers and teaches an immersive research seminar for undergraduate students called “Math & Medicine.”


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