Abhishek
Pandey
Senior Research Scientist
Associate Director, CIDMA
Yale School of Public Health
New Haven, CT

Abhishek Pandey

Infectious disease and health systems modeling

I build mathematical and computational models of infectious disease and health systems, mostly to answer questions someone outside the model needs settled — a health department, a legislative office, a programme deciding where to send what it has.

SEIR Daily new infections in a population of 100,000. Move R₀ and the peak moves further than you moved it.
peak day
peak / day
ever infected

About

I'm a Senior Research Scientist in the Department of Epidemiology of Microbial Diseases at Yale, Associate Director of the Center for Infectious Disease Modeling and Analysis, and affiliated faculty at the Yale Institute for Global Health.

I trained as a mathematician — applied maths at IIT Roorkee, then a PhD at Clemson on dengue transmission and vaccination — before moving into public health. That order still shapes how I work: start from the structure of the problem, then decide what the data can actually support.

Most projects begin with a question from someone who has to act on the answer. Getting from that question to an estimate that holds up — with the uncertainty carried through honestly, and delivered while the decision is still open — is the part I care most about.

Abhishek Pandey
PhD Clemson, 2014 MS Clemson, 2011 MSc IIT Roorkee, 2008 BSc (Hons) Ramjas, DU

Research

What I work on

Work in use

Where this work has been used

Publications

Publications

Complete list on Google Scholar.

Mentoring & talks

Mentoring

I supervise postdoctoral, doctoral, master's, and undergraduate researchers at CIDMA, and serve as an external thesis advisor at BITS Pilani Goa. Where a trainee has done the work, they go first on the paper.

Talks and short courses

Email

abhishek.pandey@yale.edu

Office

135 College Street, Rm 218
New Haven, CT 06510

Elsewhere

GitHub · ORCID · CIDMA

Students looking for thesis supervision or a modeling project, health departments with a question and a dataset, and researchers wanting to work on any of the above — email is the fastest way to reach me.