Senior Infectious Disease Modeller at Nuffield Department of Primary Care Health Sciences - University of Oxford
London, England, United Kingdom
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Anjalika Nande is a Senior Infectious Disease Modeller with eight years of quantitative research experience, leveraging a PhD in Theoretical and Mathematical Physics from Harvard to tackle problems in infectious dynamics, antimicrobial resistance, and intervention cost-effectiveness. She combines deep analytical skills in stochastic and nonlinear systems with practical experience running large-scale simulations and statistical inference on complex biological datasets. Her work spans within-host to population-level models, including dynamics on complex networks and evolutionary game-theoretic perspectives on resistance. Anjalika has a track record of translating theory into policy-relevant analyses through roles at Johns Hopkins and now the Nuffield Department of Primary Care Health Sciences at Oxford. She is also an experienced communicator and mentor—recognized for teaching excellence at Harvard—and brings uncommon cross-disciplinary fluency from quantum field theory and neural networks into epidemiological modelling.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Theoretical and Mathematical Physics, Doctor of Philosophy (Ph.D.) Theoretical and Mathematical Physics at Harvard University
MSci Theoretical and Mathematical Physics, MSci Theoretical and Mathematical Physics at University of Birmingham
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Anjalika Nande - Senior Infectious Disease Modeller at Nuffield Department of Primary Care Health Sciences - University of Oxford