Lee joined the lab as a Research Trainee in April 2016 and became a Research Collaborator in January 2017, during his Ph.D. studies. He has since joined full-time as a Bioinformatician. He graduated with a Masters of Mathematics from the University of York, UK, and completed his Ph.D. in Mathematical Medicine and Biology at the University of Nottingham, UK in 2019.
Lee is an advocate for minimal mathematical models that can be applied to gain clinical insight, with the long-term goal of guiding clinical trials, and in turn improving patient survival. Lee has worked on a partial differential equation model – the Proliferation Invasion Hypoxia Necrosis Angiogenesis (PIHNA) model, to suggest mechanistic explanations to clinically observed phenomena. Lee’s data-driven work is focused on survival implications of cystic glioblastoma, as well as the shape of MRI abnormalities.
In our image-localized biopsy project, Lee is involved in the creation of spatio-temporal mathematical models to study the interactions between glioblastoma subpopulations, as well as collecting biopsies in the OR.
Lee is also involved in outreach and education. He arranges our external speakers, helps keep this website in order, and is a member of our Education Committee.