Anjalika Nande

Dr. Anjalika Nande is a Researcher at the University of Oxford. Her research is driven by wanting to understand the mechanistic principles behind infectious disease dynamics and evolution both within individual hosts and across populations (including over complex networks), with the focus to identify optimal pharmaceutical and non-pharmaceutical interventions and public health policies. She holds a PhD and MA in Physics from Harvard University. 

Anjalika's current work focuses on estimating the impact and cost-effectiveness of different interventions related to antimicrobial resistance, with particular emphasis on low-and middle-income countries. She is also interested in Bayesian evidence synthesis and developing appropriate uncertainty quantification frameworks for infectious disease models. 

Prior to joining the University of Oxford, Anjalika was a postdoctoral fellow at Johns Hopkins University in the Infectious Disease Dynamics group. There, she worked on a range of projects related to COVID-19, RSV, HIV, malaria, and dengue. She was also part of the CDC-funded Atlantic Coast Center for Infectious Disease Dynamics and Analytics (ACCIDDA), which coordinates Insight Net, a Center for Forecasting and Outbreak Analytics initiative focused on building modeling and analytic capacity within U.S. health departments. Through this work, she contributed to the development and application of flepiMoP (Flexible Epidemic Modeling Pipeline), a mathematical modeling framework used for scenario projections and short-term forecasts of COVID-19, influenza, and RSV. In addition to traditional mechanistic modeling methods, Anjalika is also experienced in using machine learning methods to forecast disease incidence.