I am a Research Fellow in the department of Infectious Disease Epidemiology and Dynamics (IDE-D) and the Centre for Mathematical Modelling of Infectious Diseases (CMMID). My current work focuses on developing individual-level transmission models to understand the impact of interventions for containment of emerging epidemics, as well as the application of epidemiological parameters in epidemiological analysis.
My previous role at LSHTM was as a Research Software Engineer working in the Epiverse-TRACE initiative. I primarily developed R packages to enable epidemiologists to conduct reliable and robust analysis on disease outbreak data.
My background is in evolutionary biology and from 2019-2024 I did my PhD at the University of Groningen.
Affiliations
Teaching
For my role at LSHTM I teach across a variety of modules across epidemiology, modelling and programming. I have taught on a variety of topics to date at various higher education institutes, from evolutionary biology and ecology, to mathematical modelling, to software development including developing R packages.
Research
My interests are in understanding how we can make public health policy-informing insight with by developing and applying infectious disease models. Throughout my research I look to develop open source software that others in public health can use. I also maintain several pieces of software that are used in outbreak analytics.
Selected Publications
