Henry Tregidgo
Senior Research Fellow at UCL
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolHenry Tregidgo is a Senior Research Fellow and imaging scientist with a decade of experience applying applied mathematics and inverse-problem theory to medical image reconstruction, segmentation and registration across modalities from X‑ray CT and micro‑CT to structural and diffusion MRI. His work bridges clinical trials and basic research—developing Bayesian and deep-learning (U‑Net) methods for thalamic and multi-scale organ segmentation and producing quantitative imaging biomarkers for liver cancer and dementia studies. Comfortable in Python, C++, Matlab and bash, he has a track record of translating mathematical models (from his PhD in applied mathematics) into validated tools used on large public datasets (HCP, ADNI, GENFI) and clinical trial data. He routinely collaborates with clinicians, industry partners and charities, having coordinated GDPR-compliant data curation for multi-centre studies and trained networks on heterogeneous multimodal inputs. Notably, his background in Electrical Impedance Tomography and control‑theoretic lung modelling gives him a rare combination of physiological modelling and practical imaging reconstruction expertise. Based in London, he currently leads research at UCL and Fujitsu Research Europe, applying rigorous quantitative methods to real-world clinical problems.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Applied Mathematics, Doctor of Philosophy (PhD), Applied Mathematics at The University of ManchesterBachelor of Science (BSc), Mathematics, 2:1, Bachelor of Science (BSc), Mathematics, 2:1 at Imperial College LondonGithub contributions (5)
henrywatkins/gawain
Nov 2019 - Mar 2021
Contributions:61 commits, 3 pushes, 3 branches in 1 year 3 months
henrywatkins/labellasso
Jul 2022 - Mar 2025
Contributions:2 pushes, 1 branch in 2 years 8 months
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