I’m a PhD candidate in Epidemiology and Biostatistics in the Department of Population and Quantitative Health Sciences at Case Western Reserve University. Broadly, I specialize in the use of complex claims and administrative health care data, paired with traditional statistical techniques and novel machine-learning and data mining approaches to understand health, health care, and outcomes, and associated disparities and inequities, across a wide range of complex chronic conditions. I have extensive experience with Medicare, Medicaid, Healthcare Cost and Utilization Project, National Ambulatory Medical Care Survey, Medicare Current Beneficiary Survey, and cancer surveillance databases.
My dissertation is funded by the National Institute on Minority Health and Health Disparities F31 National Research Service Award Predoctoral Fellowship and uses these approaches to identify disparities in health and health outcomes for people with epilepsy.
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. You can see an overview of the package and its features here.
Below you’ll find a brief summary of my experiences, but please see my CV for full details.
PhD in Epidemiology and Biostatistics, in progress
Case Western Reserve University
BS in Public Health, 2016
For a full list, including under review and in-press publications, please see my CV
Introduction: Health-related social needs are known drivers of health and health outcomes, yet work to date to examine health-related …
Objective: People with epilepsy, one-third of whom in the US are on Medicaid, experience a wide range of chronic and physical …