Fabian Sturman
CDT Student
Fabian Sturman is currently studying on the CDT course in Healthcare Data Science, having completed an integrated Masters' in Mathematics and Computer Sceince at the University of Oxford.
Fabian is interested in the efficient modelling of infectious disease for policy development, and the integration of modern statistical and Machine Learning techniques into model calibration and data analysis. Fabian is a member of the Mathematical Modelling for Public Health Policy Support group, led by Prof Jasmina Panovska-Griffiths.
Beyond healthcare modelling for pandemic sciences, Fabian has undetaken an 8 week reseach studentship at the Institute for Cancer Research in Sutton, London, investigating the use of image models to generate quantitative MRI from CT scans, and is currently undertaking a performing quantitative analysis for a project investigating novel metrics for weaning and extubation for patients in Neurocritical Care Units. Fabian's Master's dissertation investigated the calculation of Probably Approximately Correct Learning bounds for Reinforcement Learning agents in arbitary state- and action-spaces.