Recipient of several honors and awards including the 2018 Discovery Award Grant from Johns Hopkins University, 2018 Exemplary peer reviewer for Epidemiology, 2017 Honorable mention for the Thomas Ten Have Award at the Atlantic Causal Inference Conference, and more. Published significant papers such as 'Decomposition Analysis to Identify Intervention Targets for Reducing Disparities' among others.
Research Experience
Associate Professor at Johns Hopkins Bloomberg School of Public Health, primarily affiliated with the Department of Epidemiology, with joint appointments in Mental Health and Biostatistics. His methods research focuses on: (1) developing methods to help identify, refine, and evaluate interventions to eliminate health and healthcare disparities; (2) improving the transparency and conduct of observational studies and post-hoc analyses of clinical trials.
Education
ScD from Harvard University in 2013; BS from University of Maryland, Baltimore County in 2002.
Background
Research interests include causal inference, confounding, decomposition, epidemiology, health disparities, instrumental variable, interaction, intersectionality, mediation analysis, mental health, meta-analysis, pharmacoepidemiology, psychotropics, diagnostics, observational studies, time-varying exposure, translational research, and transparency.