My personal dissertation research focuses on 1) developing methodological frameworks to combining disparate spatiotemporal data with individual-level health data, and 2) using these linked datasets to estimate the effects of environmental exposures on health. To do this, I apply advanced quantitative methods in causal inference, statistical learning, geospatial analysis, and informatics to large-scale clinical, demographic, and geographic data.
In my role as a Graduate Research Assistant at UNC under
Dr. Emily Pfaff, I leverage causal machine learning (ML) methods within a target trial framework to assess the comparative effectiveness of various interventions as part of the
National Clinical Cohort Collaborative (N3C) and the
NIH RECOVER Initiative. Additionally, my work includes the development and validation of algorithmic approaches for automated clinical cohort identification and computable phenotype generation, using methods in graph analysis, natural language processing (NLP), and dimensionality reduction.
With
Dr. Barbara Entwisle at the
Carolina Population Center, I apply methods in computational demography to examine the potential of electronic health record data to inform research on population mobility dynamics.
As a Research Scientist at
CrisisReady, I work with Drs. Satchit Balsari, Caroline Buckee, and Andrew Schroeder on building pipelines for crisis planning and response in the context of COVID-19, the Syrian War, and Climate Hazards in India. Secondarily, I am interested in issues of human rights, ethics, and privacy (with a specific interest in differential privacy).
Filter through some of my current and past work using the toolbar below.
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National COVID Cohort Collaborative (N3C)
N3C aims to improve the efficiency and accessibility of analyses with COVID-19 clinical data, expand our ability to analyze and understand COVID, and demonstrate a novel approach for collaborative pandemic data sharing
NIH RECOVER Initiative
The RECOVER Initiative is a patient-centered, integrated, adaptive research network
CrisisReady
Data Readiness, Methods Readiness, and Translational Readiness, for equitable and transparent crisis planning and response.
COVID-19 Mobility Data Network
A network of infectious disease epidemiologists at universities around the world working with technology companies to use aggregated mobility data to support the COVID-19 response
The Kerala Flood Impact Ascertainment Study
Evaluating the impact of the 2018 Kerala floods in partnership with the Govt. of Kerala, and the All India Disaster Mitigation Insitute
Distress Migration- The Rohingya
A rapid assessment household survey of Rohingya and host families in Cox’s Bazar
Digital Health Innovation Hubs
A collaborative effort to optimize India’s NCD management platform, aiming for streamlined workflows and improved outcomes across 18,000 centers.
India Digital Health Net
A Harvard-wide research and policy collaborative focused on the development of a patient-centric, provider-friendly, API-enabled health exchange ecosystem.
Syria- Health in Conflict
Documenting the impact of the Syrian war on population morbidity and mortality, as part of the Lancet Commission on Syria