Research

Current Focus

My personal dissertation research focuses on 1) developing methodological frameworks to combine 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.

Collaborations

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 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 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. I am also interested in issues of human rights, ethics, and privacy, including differential privacy.

Projects

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