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.
Computational health scientist
Abhishek Bhatia
UbheeshakeBhateeya
Stress on hee and Bha. Most people call me Abhi, which rhymes with “hubby”.
[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.
domains of research
02 / pathway
Mobility & displacement
Explore theme
Estimating rates of mobility and displacement, and how populations shift in response to those pressures over time.
03 / outcome
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.
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
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