Profile photo of Abhishek Bhatia

PhD candidate, health informatics / UNC Chapel Hill

Abhishek Bhatia

I'm currently a PhD candidate at the Carolina Health Informatics Program at the University of North Carolina at Chapel Hill, advised by Dr. Emily Pfaff at the NC TraCS Institute. My collaborative and affiliate work spans other labs and centers at UNC, including the Hino Lab, the Carolina Population Center, the Fry Lab, and UNC Health.

Before UNC, I was a Research Scientist at CrisisReady, a joint initiative between Harvard University and Direct Relief, after spending several years at the FXB Center for Health and Human Rights and the Mittal Institute, both at Harvard University. I received an MS from Harvard T.H. Chan School of Public Health's Global Health and Population department, and undergraduate degrees from the University of California, Berkeley.

I also care about privacy, reproducible open science, and human rights.

domains of research

01 / exposure

Climate & crises

Characterising exposure to climate extremes, disasters, and humanitarian emergencies, and the differential burden of disease and death it produces across populations.

data & methods
data geospatial climate & hazard data / remotely sensed exposures / gridded reanalysis products / rapid needs assessments / field survey data
methods exposure modelling / geospatial analysis / spatial interpolation / field epidemiology
02 / pathway

Populations & mobility

Estimating mobility rates from digital trace and address data, and using them to understand how populations move in response to those pressures over time.

data & methods
data residential address histories / high-throughput digital traces / aggregated mobility data / household surveys / displacement tracking data / census & administrative data
methods mobility estimation / residential history reconstruction / small-area estimation / survey design & weighting
03 / burden & health

Health data & informatics

Quantifying and comparing the effects of exposures, treatments, policies, and digital health interventions on disease, death, and health service delivery.

data & methods
data electronic health record data / insurance claims data / disease registries / patient-reported social determinants / harmonised multi-site (OMOP) data
methods computable phenotyping / causal inference / target trial emulation / randomised trials / statistical learning / policy & implementation research

See more →

around

invited talk · Jan 2026
Migration Working Group
Chapel Hill, NC. “Patient Addresses in Electronic Health Records: New Source of Data on Spatial Mobility?”
panel · Nov 2025
Atlanta, GA. “At the Intersection of Health and Place: Integrating Electronic Health Records with Geospatial Data for Research, Practice, and Policy.”
full list of talks in the CV →