Philip Turk’s educational background includes a B.S. in Zoology (Ohio University), an M.S. in Biology (Western Illinois University), and a Ph.D. in Statistics (Montana State University). He has provided statistical consulting and data analysis for hundreds of projects across many scientific disciplines, notably as an Assistant Professor of Statistics at West Virginia University (2008–2014) and as an Associate Professor of Statistics at Colorado State University (2014–2018). He also worked for several years as a statistical consultant at Abbott Labs, from research through market launch, supporting various diagnostic and medical products.
Dr. Turk is an author or co-author of 37 peer-reviewed publications in statistics, data science, and other disciplines, and has participated in over 50 posters and professional talks. He has helped to write many successfully funded external grants and contracts with cross-functional research teams. During his time in academia, Dr. Turk taught a wide range of undergraduate and graduate courses in statistics and served as an academic advisor or committee member for 35 graduate students.
His primary areas of interest are sampling, statistical computing, experimental design, and statistical modeling. Specifically, he is interested in areas such as adaptive cluster sampling, non-parametric tests, and novel statistical approaches for problems in the natural and social sciences, particularly if they involve (generalized) linear mixed models. Recent interests include Bayesian statistics, spatiotemporal models, and multivariate methods.