I am a quantitative epidemiologist with methodological expertise in the design and analysis of observational studies that leverage data from cohort studies, registries, and the electronic health record (EHR). My background, training, and research is in the measurement and characterization of biomarkers, risk factors and treatment outcomes for chronic disease using real-world datasets. My primary research interests are in the use of novel sources of data, including the EHR, to conduct chronic disease research at the intersection of informatics, biostatistics, and epidemiology. My ongoing work aims to integrate informatics, epidemiology, and biostatistics to reduce the burden of chronic disease. I have topical expertise in multiple chronic diseases, including oncology, cardiovascular disease, and chronic kidney disease. In parallel, I have a portfolio of research that aims to understand the impact of social determinants of health, including dynamic neighborhood changes, such as gentrification, on the health of adults and children.
Education and Training
- Fellowship, Johns Hopkins University School of Medicine, 2011 - 2013
- Fellowship, New York University School of Medicine, 2010 - 2011
- Ph.D., Johns Hopkins University, 2010