I am a mathematical statistician serving in the biostatistics program at the NIDDK, which provides advice to both extramural and intramural NIDDK staff on the design and feasibility of proposed research studies and the conduct of ongoing studies. Having taught courses at Harvard School of Public Health and Uniformed Services University of the Health Sciences, I add to the biostatistics program’s capacity for conducting educational seminars. I also perform research on statistical methods, focusing on causal inference from longitudinal or multilevel studies and handling incomplete data, among other topics relevant to NIDDK research; I am engaging these methodology communities to develop a clearinghouse of methods application that leverages widely-available data, such the NIDDK Central Repository. I actively consult and collaborate on research projects, whether developed from the extramural program (such as issues faced by Data and Safety Monitoring Boards) or by intramural investigators, contributing to the design/analysis of NIDDK-sponsored biomedical research.
I earned a Ph.D. in biostatistics from Harvard University after using my master's degree from the University of Virginia to teach gifted high school students. Prior to joining the NIDDK, I served as a senior biostatistician for the Infectious Disease Clinical Research Program. My duties ranged from scientific review of proposed research to development and implementation of multicenter protocols, helping to develop its worldwide research network sponsored jointly by the National Institute of Allergy and Infectious Diseases and the Uniformed Services University within the Department of Defense. My collaborations with and training of network investigators was informed by leading statistical efforts for well over a dozen NIH-sponsored trials supported by the EMMES Corporation in Rockville, Maryland.