Computational health scientist

Abhishek Bhatia

Abhishek Bhatia

domains of research

False-color satellite images of Kerala before and after the 2018 floods: Landsat 8 on February 6 at left and Sentinel-2 on August 22 at right. Kerala floods, 2018NASA Earth Observatory
01 / exposure

Climate & crises

Explore theme

Characterizing exposure to climate extremes, disasters, and humanitarian emergencies: how intense, how frequent, how prolonged, and who bears it.

Synthetic network illustration of clustered nodes connected by directional arcs; it does not show measured routes. Illustrative mobility network
02 / pathway

Mobility & displacement

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Estimating rates of mobility and displacement, and how populations shift in response to those pressures over time.

03 / outcomes

Clinical & population health

Explore theme

Quantifying the short- and long-term effects on disease and death in individuals and populations, and the comparative effectiveness of the interventions and policies meant to reduce them.

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[about]

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.

Collaborations

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

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.

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
AMIA Annual Symposium
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 2025Effect of Paxlovid Treatment during Acute COVID-19 on Long COVID Onset: An EHR-Based Target Trial Emulation from the N3C and RECOVER ConsortiaPLOS MedicineAug 2025Re-engineering a Machine Learning Phenotype to Adapt to the Changing COVID-19 Landscape: A Machine Learning Modelling Study from the N3C and RECOVER ConsortiaThe Lancet Digital Health
see all outputs