I am a third-year PhD student in Health Policy at Harvard. My research interests are in the design and analysis of health reforms at the state and federal levels, primarily in how researchers can use a wide array of statistical and econometric methods (including Bayesian analysis, microsimulation, and methods in causal inference) to better inform policy evaluations and decisions. I work primarily with Jonathan Gruber of MIT on a microsimulation model that is used to score the effects of federal and state health care reform options. I came to Harvard from The Urban Institute, a think-tank in Washington, D.C. I live in Cambridge with my wife Amy, who is an analyst in the Department of Ambulatory Care and Prevention at Harvard Pilgrim Healthcare and Harvard Medical School. Both of us are graduates of the University of The South in Sewanee, Tennessee.

You can also check out my postings on the Social Science Statistics blog, which is hosted by the Institute for Quantitative Social Science.