With my strong background in the combined fields of Econometrics, Health Economics and Healthcare Systems, my primary interests include data analytics, data design, data management, and EMR system usages in healthcare research. I have expanded experience in SAP analytics, Business intelligence, and SQL platform. My current research focuses on optimizing information systems utilized by researchers within the Brown community as well as by various local and national agencies specifically related to infectious diseases including HIV/AIDS, TB, and Hepatitis B and C. In addition, I collaborate with research teams to create systems that can capture clinical and research data at both national and international levels.
I started my career conducting macro-level research that focused on government tax policies and their impact on the general population and later became involved with international organizations in creating micro-level field survey tools for households and small business level data collection. As a result, I examined household altruistic vs. risk sharing behaviors using longitudinal panel data for my doctoral dissertation in Economics. At the end of my PhD program, my research interests focused more on Health Economics with a heavy concentration on programming of econometric models for various government agencies.
Currently, I provide expertise on the design, implementation, and development of computerized systems for research and government reporting. Particularly, I am responsible for designing and maintaining an electronic database system for HIV surveillance in Rhode Island. These systems are integral for sustaining a comprehensive method of reporting HIV and other infectious disease information to local and federal agencies. My main focus is to design models that integrate data from Electronic Medical Records (EMRs) and other sources to facilitate healthcare research and reporting environments.
I would like to expand my research to implement the EMR data models in the developing world which can help control epidemics and understand the socio-economic effects of global diseases, especially HIV/AIDS, TB, and Hepatitis B and C.