Dr. John Ternovski is a multi-disciplinary empiricist with over a decade of experience in data science and social science research. He has focused on using machine learning, causal inference, social media analytics, and computational social science to speak to questions within behavioral science, public policy, and network science.
He is currently an Assistant Professor and Analyst at the US Air Force Academy. Prior to this position, he worked as a postdoctoral fellow at the McCourt School of Public Policy at Georgetown University, detailed to the Office of Evaluation Sciences at the US's General Services Administration. He co-founded and was the Principal of Mimir Analytics. He has previously been employed as a senior research fellow at the Harvard Kennedy School (Student Social Support R&D Lab), a lab specializing in large-scale field experiments in the field of education. Prior to this position, he served as the Director of Analytics at the Analyst Institute, a company that designed, implemented, and analyzed large-scale field experiments for a variety of major non-profits and political campaigns.
He completed his PhD in Political Science at Yale University in 2021. He also holds an MA in Statistics (Yale), an MPhil in Political Science (Yale), an MSc in Social Science of the Internet (University of Oxford), and a BA in Economics (Dartmouth College).