Jeff Gill is a distinguished Professor in the Department of Government and the Department of Mathematics & Statistics, a Member of the Center for Neuroscience and Behavior at American University, and the founding Director of the Center for Data Science. His research applies Bayesian modeling and data analysis (decision theory, testing, model selection, elicited priors) to questions in general social science quantitative methodology, political behavior and institutions, medical/health data analysis especially physiology, circulation/blood, pediatric traumatic brain injury, and epidemiological measurement/data issues, using computationally intensive tools (Monte Carlo methods, MCMC, stochastic optimization, non-parametrics). This year he is a visiting professor in the Department of Government at Harvard.
Contact
jgill@fas.harvard.edu
1737 Cambridge Street, Cambridge, MA 02138
Subfields
Methods and Formal Theory
Research Methods
Experiments | Quantitative Methods | Surveys