home | research | cv | teaching | resources
Research interestsInfectious diseases: using statistical methods to estimate natural history parameters of disease in real-time and to model spatial-temporal dynamics of disease processes.Missing or coarse data: how to account for truncation or interval censored observations. Statistical computing: reproducible research. Research projectsIncubation periods of respiratory viral diseases: We are developing methods to estimate incubation periods of infectious diseases in real-time during an outbreak [joint work with Ron Brookmeyer].Influenza epidemics: Using time-series data on influenza hospitalizations in the US, we are building a model that explains the yearly seasonal influenza trends in terms of climatological patterns and demographic characteristics [joint work with Ron Brookmeyer and Roger Peng]. Red Cross blood supply: I work with a research team with students and faculty from the Biostatistics and Epidemiology departments here at Hopkins. Together with researchers from the Red Cross, we are investigating the impact of pandemic influenza (or other such possible public health crisis) on the blood supply in the US [joint work with Ming-Wen An, Stephen Crawford, Ron Brookmeyer, Ken Nelson, Tom Louis and the Red Cross team]. Nutrition and frailty: Using data from the Women's Health and Aging Study (WHAS), a cohort study of elderly women in the Baltimore area, we are investigating the relationship between various miconutrients and frailty. [joint work with Amy Mahoney, Carlos Weiss, Karen Bandeen-Roche, Richard Semba and Linda Fried]. Genetic pathway analysis: Using data from a case-control study of carotid artery atherosclerosis disease (CAAD) based at the University of Washington, we explored pathway effects using a combination of random forest and monte carlo logic regression methods. The non-parametric random forest methods were used to select a subset of covariates most predictive of CAAD status, and then we implemented monte carlo logic regression to identify specific relationships that were present in the dataset [joint work with Alex Nord et al.]. Randomized interventions to turn out the vote: During the election cycle in 2006, classmate Jessica Myers and I helped two environmental non-profit groups design studies to test whether various get-out-the-vote tactics are indeed turning out the vote. To assist the groups in deciding how large to make the test and control groups, we designed a simulation to estimate the power of detecting an increase in voter turnout (if it exists) under different circumstances. We also performed the follow-up analysis. |
615 N. Wolfe St. Baltimore, MD 21205 |
office E3035 410.502.3364 |