College of Social and Behavioral Sciences
Scott Hershberger has led in the creation of award-winning data science applications for Medicare fraud detection that have resulted in billions of dollars a year in savings.
He has extensive knowledge and experience that spans professional, academic, and research sectors in data science, statistics, psychometrics, and research design.
His deep knowledge of many machine learning and multivariate quantitative techniques has helped clients solve complex business problems across many industries (e.g., pharmaceutical, auto, retail, etc.). Scott has also developed several computer adaptive tests.
Scott has also led quantitative teams and individual scientists in both the private and public sectors tasked with solving both short-term and long-term complicated business and scientific problems.
He is the author or co-author of several books and more than 100 published papers in statistics and psychology.