Education
Emphasis in Data Science
M.S. Economics
B.S. Financial Economics
Biography
Thomas Sharpe is a Ph.D. student in Data Science at Boise State University.
Prior to beginning his doctoral studies, he worked in market research and consulting, supporting 100+ projects for over 50 clients. He has since spent the past decade working in institutional research and higher education data analytics.
Thomas’s research interests center on expanding and adapting causal inference methods for applications in higher education. In particular, he is interested in investigating whether synthetic control methods can provide a more rigorous approach to institutional benchmarking, supplementing traditional peer and aspirational peer comparisons.
More broadly, his interests include the use of data science and causal inference to support institutional decision-making and better understand higher education outcomes.