Physical Sciences Research Scientist at Stanford University
Oxford, England, United Kingdom
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Summary
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Senior
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Top School
Murray Cutforth is a machine learning scientist and physical sciences researcher with 11 years’ experience applying ML, computer vision and numerical simulation to high-impact problems from medical imaging to rocket-engine combustion. He holds a PhD in computational fluid dynamics from Cambridge and blends physics-informed modelling with modern deep learning—developing uncertainty quantification, surrogate models and high-dimensional regression methods at Stanford’s Center for Turbulence Research. At Canon Medical he translated transformer and zero-shot vision models into clinical NLP and imaging workflows, supervised students, and contributed patented physics-informed approaches to biomedical simulation. Comfortable moving between classic image-processing techniques and state-of-the-art transformer architectures, he is especially adept at marrying domain physics with data-driven models to accelerate simulation and decision-making. Based in Oxford, he brings a rare combination of aerospace-grade simulation expertise and hands-on ML productisation for healthcare and energy applications.
11 years of coding experience
5 years of employment as a software developer
Beaumont School
Doctor of Philosophy (PhD), Computational fluid dynamics, Doctor of Philosophy (PhD), Computational fluid dynamics at University of Cambridge
Bachelor of Science (BSc), Physics, First Class Honours, Bachelor of Science (BSc), Physics, First Class Honours at Imperial College London
Contributions:5 commits, 2 pushes, 1 branch in 1 year 6 months
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Murray Cutforth - Physical Sciences Research Scientist at Stanford University