Appointment

• Director, Clinical and Translational Research Institute
• Program Director, M.S. Health Data Science and AI
• Professor of Statistics

Education

• Ph.D., Statistics, Montana State University (MSU), Bozeman, MT, 2003
• M.S., Statistics, Montana State University, Bozeman, MT, 1998
• M.S., Biology, Western Illinois University, Macomb, IL, 1989
• B.S., Zoology, Ohio University, Athens, OH, 1986

Biography

Dr. Philip Turk is a Professor of Statistics at Northeast Ohio Medical University. He previously held positions as a Professor and Chair in the Department of Data Science within the School of Population Health at the University of Mississippi Medical Center. Before that, he was an Associate Professor and Director of Biostatistics and Data Science at Atrium Health in Charlotte, N.C.

Turk earned his M.S. in Biology at Western Illinois University and his Ph.D. in Statistics at Montana State University. Dr. Turk has held joint appointments as an Associate Professor of Statistics in the Department of Statistics and statistical consultant at the Graybill Statistical Laboratory, Colorado State University; and as an Assistant Professor of Statistics in the Department of Statistics and statistical consultant at the Davis College Experiment Station, West Virginia University. Early in his career, he worked at Abbott Labs supporting the development of medical diagnostics and devices.

Research interests

I am a theoretically trained statistician with a strong biological background who uses biostatistics, data science and AI to solve interdisciplinary problems, often through novel applications or the development of methodologies.

My curiosity about how life works and evolves at all levels, whether it be genetic or environmental, or about complex systems and population dynamics is unending.

Most of my research now has a nexus to public health, medicine, and related disciplines. My primary areas of interest and expertise are sampling, clinical trial and experimental design, advanced modeling and forecasting, and methods in artificial intelligence.