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[Research]

My work sits between clinical informatics and epidemiology. The through-line is people and the places they move through, and how that affects their risk of disease and death. Sometimes the exposure and displacement is acute, as in crisis settings. Sometimes it is chronic, like climate-driven migration. My methodological interests cut across my domain interests: displacement, disease, and death.

On the clinical side, I apply causal inference, statistical learning, and geospatial analysis to large-scale clinical, demographic, and geographic data. This includes comparative effectiveness research: randomized and pragmatic trials where feasible, target trial emulation where a trial is not, and implementation science to carry the evidence into practice.

On the population health side, I combine field survey data, syndromic surveillance, and mobility data for humanitarian emergency response, in the War in Syria, the 2018 floods in India, the Rohingya refugee crisis, and climate-driven displacement in North Carolina. This is field epidemiology, applied where migration & displacement and health meet.

My dissertation links spatiotemporal data with individual-level health data, and uses the linked records to quantify the cumulative burden of climate extremes on population displacement, disease, and death. The estimation applies causal inference, statistical learning, and geospatial analysis to large-scale clinical, demographic, and geographic data, with climate extremes as the exposures of interest and movement as the pathway connecting them to health.

As a Graduate Research Assistant with Dr. Emily Pfaff, I apply causal inference within a target trial framework to assess the comparative effectiveness of treatments in the National Clinical Cohort Collaborative (N3C) and the NIH RECOVER Initiative. The same work applies statistical learning, including graph analysis, natural language processing, and dimensionality reduction, to automated cohort identification and computable phenotyping.

With Dr. Barbara Entwisle at the Carolina Population Center, I study how electronic health record data can inform population health research on population mobility dynamics, a bridge between clinical data and migration & displacement.

projects

United States, 8 projectsChad, 1 projectEl Salvador, 1 projectSenegal, 1 projectMali, 1 projectNiger, 1 projectNigeria, 1 projectGuinea, 1 projectBurkina Faso, 1 projectLebanon, 1 projectIndia, 4 projectsBangladesh, 1 projectNepal, 1 projectSyria, 1 projectTurkey, 1 project
Active
2026

UNC Health Clinical Trials & Emulations

Evaluating interventions in clinical care and health informatics through a mix of designs: implementation and comparative-effectiveness RCTs where feasible, and target trial emulations in large-scale health-record data where a trial is not.

causal inference policy & implementation
2024

Residential Mobility in Electronic Health Records

Using longitudinal patient address histories in EHRs as a population-scale measure of residential mobility, and what it reveals about spatial health inequity.

geospatial analysis statistical learning
2024

Measuring Patient Data Density in EHRs to Understand Bias

Developing the EHR Density Index (EDI), a covariate that quantifies how much a patient's documentation deviates from clinically similar patients, so EHR studies can adjust for documentation-density bias. Developed and validated on ~25,000 UNC Health patients.

statistical learning
2023

Concept Rollups for OMOP Data

A method for rolling granular OMOP clinical concepts up into interpretable, TF-IDF-weighted groups, to make high-dimensional EHR data more tractable for phenotyping and analysis.

statistical learning
Past (10)
2021

National Clinical Cohort Collaborative (N3C) & NIH RECOVER

Research in the National COVID Cohort Collaborative (N3C) and NIH RECOVER, using harmonized multi-site EHR data to study Long COVID: machine-learning phenotypes, ICD-10 characterization, and target trial emulations of antiviral treatment.

statistical learning causal inference
2020

CrisisReady

A research initiative on data and methods for equitable crisis response; I worked on serosurveillance methods, including how geographically skewed recruitment biases COVID-19 seroprevalence estimates.

field epidemiology geospatial analysis
2020

COVID-19 Mobility Data Network

A multi-institution network using aggregated, privacy-preserving mobility data to track population movement and inform COVID-19 response planning.

geospatial analysis
2020

Migration Flows & Technology (IOM)

An analysis of the International Organization for Migration's Flow Monitoring Survey data on migration across West and Central Africa, and the role of digital technology in transnational migration.

geospatial analysis
2020

COVID-19 Response in India (Swasth Community Science Alliance)

Analyzing COVID-19 testing data across India with the Swasth Community Science Alliance, to support a hyper-local, evidence-based pandemic response — from optimizing test allocation to epidemiological patterns in large-scale national test results.

field epidemiology
2019

The Kerala Flood Impact Ascertainment Study

A field assessment of the health and displacement consequences of the 2018 Kerala floods, conducted with the Government of Kerala and the All India Disaster Mitigation Institute.

field epidemiology geospatial analysis
2018

Distress Migration — The Rohingya

A rapid-assessment household survey of Rohingya refugees and host families in Cox's Bazar, Bangladesh, documenting health and displacement needs.

field epidemiology
2017

Syria — Health in Conflict

Documenting the effects of the Syrian conflict on population morbidity and mortality, as part of the Lancet Commission on Syria.

field epidemiology
2017

India Digital Health Network

A Harvard research-and-policy collaborative on interoperable digital health systems for India; I worked on human-centered design for mHealth tools and on digital-health regulatory frameworks.

policy & implementation
2012

Global Oral Health & Nutrition

Community-based studies of child oral health and undernutrition in El Salvador and India, linking infant feeding and dietary practices to severe tooth decay and malnutrition in young children.

field epidemiology