Abhishek Bhatia

Profile photo of Abhishek Bhatia

Computational health scientist and PhD candidate in health informatics at UNC Chapel Hill.

Faint world map with the sixteen countries this research was carried out in picked out

[About]

I’m a computational health scientist interested in how movement, exposure, and place shape health. I work with field surveys, clinical and administrative records, high-throughput digital traces, and satellite-derived exposures. I also care about privacy, reproducible open science, and human rights.

More

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. You can read more about my current research and the methods I apply on the research page.

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.

My CV is available here.

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

exposure modelling / geospatial climate & hazard data / rapid assessments / remotely sensed data

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

administrative data / high-throughput digital traces / household surveys / public health surveillance

03 / burden & care

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

claims data / electronic health record data / registries / target trial data

See Research →

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 →

recent work

Sep 2025

Effect of Paxlovid Treatment during Acute COVID-19 on Long COVID Onset: An EHR-Based Target Trial Emulation from the N3C and RECOVER Consortia

Alexander Preiss, Abhishek Bhatia, Leyna V. Aragon, John M. Baratta, Monika Baskaran, Frank Blancero, M. Daniel Brannock, Robert F. Chew, Ivan Diaz, Megan Fitzgerald, Elizabeth P. Kelly, Andrea Zhou, Thomas W. Carton, Fei Wang, Rainu Kaushal, Christopher G. Chute, Melissa Haendel, Richard Moffitt, Emily Pfaff, N3C Consortium, the RECOVER Cohort

PLOS Medicine PDF for Effect of Paxlovid Treatment during Acute COVID-19 on Long COVID Onset: An EHR-Based Target Trial Emulation from the N3C and RECOVER Consortia Project for Effect of Paxlovid Treatment during Acute COVID-19 on Long COVID Onset: An EHR-Based Target Trial Emulation from the N3C and RECOVER Consortia

Aug 2025
see all outputs →