Awarded the International Society of Computational Economics prize for “outstanding contribution in computational social simulation” (2022)
Published numerous papers in areas such as spatial agent-based models, microsimulation, evolutionary approaches, uncertainty quantification, reinforcement learning, and data assimilation.
Research Experience
EPSRC and ESRC Fellow, focused on the development of Machine Learning/Artificial Intelligence approaches. Involved in the Leeds Institute for Data Analytics, Consumer Data Research Centre, and the Urban Analytics Programme at the Alan Turing Institute. Held the inaugural ESRC-Turing Fellowship. Currently an Alan Turing Fellow.
Education
Bachelor's Degree in Archaeology - University of Durham
Master's Degree related to Geocomputation - University of Leeds
PhD - Development and application of agent-based models
Background
My undergraduate degree was in Archaeology at Grey College, University of Durham. I was always fascinated by the emergence of culture, interactions and movements of past populations. It seemed inevitable that after encountering programming and Geocomputation (which I loved) during my Master’s at the University of Leeds, I fell into a PhD that created and developed agent-based models for empirical applications. I was lucky enough to have subsequent EPSRC and ESRC Fellowships focused on the building of Machine Learning/Artificial Intelligence approaches such as neural networks, evolutionary algorithms, agent-based modelling, microsimulation, data assimilation and uncertainty quantification etc.
Miscellany
Member of the Royal Geographical Society
Member of the DSAB at the Joint BioSecurity Council