Paul is a Senior Research Associate at the Cancer Research UK Cambridge Institute (CRUK) since 2023 and a College Research Associate at St John’s College since 2020. Previously, he was a Research Associate and then a Wellcome Trust Junior Interdisciplinary Fellow at the CRUK Cambridge Institute (2018 to 2022) and a Rosetrees Trust Postdoctoral Fellow at University College London (UCL, 2017 to 2018). He earned his PhD in Applied Mathematics from UCL in 2018, following an MRes in Mathematical Modelling in Healthcare Engineering (UCL, 2014), an MSc in Applied Mathematics (Imperial College London, 2013), and a BSc in Mathematics (University of Southampton, 2012).
Paul serves as a Research Supervisor at the CRUK Cambridge Institute, co-supervising PhD candidates in the Bohndiek lab since 2021. He has also been a Part III Supervisor for Natural Sciences, overseeing projects such as the 'Segmentation of 3D microvascular images using deep learning' (2022–2023). Additionally, he has supervised students for the Mathematical Tripos Part III essay on 'Generative Adversarial Networks in Biomedical Imaging' (2022) and acted as a College Supervisor for Part 1A Natural Sciences at St John’s College (2020–2021).
Paul’s research interests lie at the intersection of machine learning (ML), biophysics, and biology. His work centres on designing generative ML algorithms to extract 3D vascular network features in an unsupervised manner, which are then applied to simulate blood flow, oxygen distribution, and drug delivery across microvascular tissues. By leveraging cutting-edge imaging techniques and large-scale data analysis, Paul aims to explore vascular biology at an unprecedented level of detail. This research is aimed at deepening the understanding of microvascular ecosystems, particularly in diseases like cancer, with the goal of improving therapeutic strategies.
