Anjalika Nande

Senior infectious disease modeller, University of Oxford

anande91 [AT] gmail.com, anjalika.nande [AT] phc.ox.ac.uk

Bio

I'm a senior infectious disease modeller at the Nuffield Department of Primary Care Health Sciences, University of Oxford in Dr. Koen Pouwel's group. I work on various aspects of infectious disease dynamics with a particular focus on estimating the impact and cost-effectiveness of different interventions in relation to antimicrobial resistance. Overall, my research is driven by wanting to understand the mechanistic principles behind infectious disease dynamics and evolution both within individual hosts and across populations, with the focus to identify optimal pharmaceutical and non-pharmaceutical interventions and public health policies.

Prior to this, I was a Postdoctoral Fellow at Johns Hopkins University Institute for Computational Medicine mainly working with Dr. Alison L. Hill and Dr. Shaun Truelove. I was part of a larger team at Hopkins and at UNC involved in the development and utilization of flepiMoP (Flexible Epidemic Modeling Pipeline), a mathematical model of infectious disease dynamics which has been used for scenario projections and short-terms forecasts of COVID-19, influenza and respiratory syncytial virus. This effort is a part of the CDC funded Atlantic Coast Center for Infectious Disease Dynamics and Analytics (ACCIDDA) that coordinates Insight Net, a Center for Forecasting and Outbreak Analytics initiative aiming to build modeling and analytic capacity in health departments across the US. I still have ongoing collaborations with this team, and I also collaborate with Dr. Mauricio Santillana's group at Northeastern University to develop disease forecasting methods using novel data sources and developing an uncertainty quantification framework for Bayesian inference of SIR-type models.

I got my PhD in theoretical physics from Harvard University in May 2021 supervised by Dr. Alison L. Hill. My thesis focused on understanding the evolution of drug resistance in fluctuating environments and understanding the role played by the structure of human contact networks on the spread of SARS-CoV-2. During my PhD I also gained some background in quantum field theory, neural networks, and evolutionary game theory (worked on creating the package DyPy , which is a Python library for simulating the evolutionary dynamics of matrix-form games). My undergraduate education was done at the University of Birmingham, UK where I received an MSci in Theoretical Physics and Applied Mathematics.

News

Publications

Malaria outbreak prediction at the sub-district level in Zambia using remote sensing satellite data

Matthew M Ippolito, Anton Kvit, Tianyue Xu, Anjalika Nande, Caitlin Bond, Japhet Matoba, Mukuma Lubinda, Timothy Shields, Phil Thuma, Clive Shiff, Frank C Curriero, William J Moss, Shaun Truelove, Southern Africa International Center of Excellence for Malaria Research

Malaria Journal, 2025

Paper

Resolving Parameter Uncertainty in Outbreak Models Through Population-Level Serological Surveillance

Binod Pant, Matthew E Levine, Anjalika Nande, Raúl Garrido García, George Dewey, Nicholas B Link, Mauricio Santillana

medRXiv, 2025

Preprint

Vaccine failure mode determines population-level impact of vaccination campaigns during epidemics.

Anjalika Nande*, Da In Lee*, Thayer L Anderson, Michael Z Levy, Alison L Hill

Royal Society Interface, 2025

Preprint Paper

Quantifying individual-level heterogeneity in infectiousness and susceptibility through household studies

Thayer L Anderson, Anjalika Nande, Carter Merenstein, Brinkley Raynor, Anisha Oommen, Brendan J Kelly, Michael Z Levy, Alison L Hill

Epidemics, 2023

Paper

The risk of drug resistance during long-acting antimicrobial therapy

Anjalika Nande, Alison L Hill

Proceedings of the Royal Society B, 2022

Paper Code

A systematic review of COVID-19 vaccine efficacy and effectiveness against SARS-CoV-2 infection and disease.

Higdon MM, Wahl B, Jones CB, Rosen JG, Truelove SA, Baidya A, Nande A, ShamaeiZadeh PA, Walter KK, Feikin DR, Patel MK, Knoll MD, Hill AL

Open Forum Infectious Diseases, 2022

Paper

Bottlenecks, Modularity, and the Neural Control of Behavior

Anjalika Nande*, Veronika Dubinkina*, Riccardo Ravasio*, Grace Zhang*, Gordan J Berman

Frontiers in Behavioral Neuroscience, 2022

Paper Code

The effect of eviction moratoria on the transmission of SARS-CoV-2

Anjalika Nande*, Justin Sheen*, Emma L Walters, Brennan Klein, Matteo Chinazzi, Andrei H Gheorghe, Ben Adlam, Julianna Shinnick, Maria Florencia Tejeda, Samuel V Scarpino, Alessandro Vespignani, Andrew J Greenlee, Daniel Schneider, Michael Z Levy, Alison L Hill

Nature Communications, 2021

Paper Code

Dynamics of COVID-19 under social distancing measures are driven by transmission network structure

Anjalika Nande, Ben Adlam, Justin Sheen, Michael Z Levy, Alison L Hill

PLoS Computational Biology, 2021

Paper Code

Crowding and the shape of COVID-19 epidemics

Benjamin Rader, Samuel V. Scarpino, Anjalika Nande, Alison L. Hill, Ben Adlam, Robert C. Reiner, David M. Pigott, Bernardo Gutierrez, Alexander E. Zarebski, Munik Shrestha, John S. Brownstein, Marcia C. Castro, Christopher Dye, Huaiyu Tian, Oliver G. Pybus & Moritz U. G. Kraemer

Nature Medicine, 2020

Paper

DyPy: A Python Library for Simulating Matrix-Form Games

Anjalika Nande, Andrew Ferdowsian, Eric Lubin, Erez Yoeli, Martin Nowak

arXiv, 2020

Preprint Code

Soft factorization in QED from 2D Kac-Moody symmetry

Anjalika Nande*, Monica Pate*, Andrew Strominger

Journal of High Energy Physics, 2018

Paper

Résumé

Full CV is available here.

Anjalika A. Nande, PhD
based on the template by Martin Saveski and modified by Paul J Wright