I am a first year DPhil student working in the (very) broad field of mathematical modelling of infectious diseases. My project is focused on investigating the role that heterogeneity (in all its many forms) plays in the spread of infectious diseases and how we can better incorporate these properties into mathematical and statistical models to enhance evidenced-based disease mitigation policies.  I am especially interested in pursuing an approach that combines graph theory (specifically complex network theory) and contact tracing data. After completing my BA in Maths at the Courant Institute at NYU in 2020, I earned an MSc in Mathematical Modelling and Scientific Computing from the Mathematical Institute (2021) and another in Modelling for Global Health from the Nuffield Department of Medicine (2023), where my dissertation extended a methodological approach to estimating mosquito abundance using climate data.

• Behavioral epidemiology
• Complex network theory
• Heterogeneity in infectious disease models
• Statistical inference from contact tracing and mobility data
• Real-time analysis and nowcasting of infection dynamics