I’m a PhD candidate in Epidemiology and Biostatistics in the Department of Population and Quantitative Health Sciences at Case Western Reserve University. My dissertation, funded by the National Institute on Minority Health and Health Disparities via an F31 Predoctoral Fellowship, focuses on applying traditional and novel statistical, machine learning, and data mining techniques to identify disparities in health and health outcomes for people with epilepsy. More broadly, my work involves the use of complex claims and administrative health care data, including Medicare, Medicaid, Healthcare Cost and Utilization Project, National Ambulatory Medical Care Survey, Medicare Current Beneficiary Survey, and cancer surveillance databases for a myriad of complex chronic conditions. The hope is that my work can identify opportunities for both policy- and individual-level interventions to improve health outcomes. Below you’ll find a brief summary of my experiences, but please see my CV for full details.
I’ve also created the multimorbidity R package, which aims to provide a uniform and simple approach to generate comorbidity, multimorbidity, and frailty measures based on claims or other administrative data. The links to the package components are: documentation and download on CRAN, vignette, PDF presentation of the package, and GitHub.
When I’m not knee-deep in health services and population health research, I am probably out taking photographs. You can see some of my photography here.
PhD in Epidemiology and Biostatistics, in progress
Case Western Reserve University
BS in Public Health, 2016