New Faculty 2021

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Eric Polley

Associate Professor
Department of Public Health Sciences

Eric Polley’s research focuses on how data science methods can be applied within medical and public health applications. He is interested in developing cancer risk prediction models, based on a collection of risk factors that include environmental, genetic, and family history. With improved risk prediction methods, he also investigates optimal screening policies for early detection of cancer, integrating a combination of radiological, laboratory, and clinical evidence into the decision assistance algorithms.

His work has been published in The New England Journal of Medicine, Journal of the National Cancer Institute, Journal of Clinical Oncology, JAMA, JAMA Oncology, Journal of Patient Experience, Genetics in Medicine, Human Mutation, npj Breast Cancer, American Journal of Neuroradiology, Medical Physics, Journal of Physiology, Nature Communications, and Clinical Cancer Research.

Polley received a BA in mathematics from Saint John’s University in Minnesota, an MS in biostatistics from Columbia University, and a PhD in biostatistics from the University of California, Berkeley. He was a fellow in computational biology at the National Cancer Institute. Most recently he was an assistant professor of biostatistics in the Department of Health Sciences Research at Mayo Clinic College of Medicine and Science.

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