I am working in conjunction with New York University School of Medicine. We examine the relationship between key community factors pertaining to the food and housing environment and 3 outcomes: diabetes, obesity and discordance between county-level diabetes and obesity prevalence, an approach that allows us to examine unique contextual risk factors for each condition.

With HAP graduate students, in collaboration with the Side-Out Foundation and the College of Science, I developed MBC portal created to capture a large array of information from the Side-Out sponsored studies, a continuum of trials where cutting-edge technologies are used to identify molecular alterations in individual tumors and devise personalized treatments for metastatic breast cancer patients outcomes. Register for access to data.

SBIRT is an evidence-based public health approach for the early identification and early intervention of substance misuse and co-occurring problems, awarded by Virginia's Department of Behavioral Health and Developmental Services, Substance Abuse and Mental Health Services Administration (SAMHSA). As a data scientist I am working with data anomalies, implementation and model development.

I worked in conjunction with the Providence Dept. of Veteran Affairs (VA) Medical Center. Using a national VA cohort of patients with Clostridium difficile infection (CDI), we are conducting a retrospective cohort study to describe clinical characteristics and outcomes associated with CDI.

I worked in conjunction with New York University. The objectives of this application are to determine the risk of Diabetes attributable to PTSD among veterans and to explore potential remediable factors that drive this risk.