Calum Green
Doctoral Student at Imperial College London
United Kingdom
Summary
👤
Senior🎓
Top SchoolCalum Green is a doctoral researcher based between Imperial College London and Diamond Light Source with 10 years of scientific and software-focused experience, specialising in multimodal data fusion of synchrotron imaging using generative deep learning, segmentation, and feature-extraction pipelines. He develops end-to-end approaches to combine X-ray imaging, diffraction and spectroscopic datasets, translating complex experimental outputs into actionable insights for large-scale facilities. Prior industry placement at STFC/ISIS involved Monte Carlo molecular dynamics, Python data analysis and user-facing documentation, evidencing both computational rigor and practical deployment experience. Comfortable at the intersection of physics, chemistry and ML, he brings a rare mix of domain knowledge in molecular-scale experiments and hands-on machine learning engineering to accelerate analysis workflows at national research infrastructures.
10 years of coding experience
MSci Chemistry with Molecular Physics and a Year in Industry, Chemistry, MSci Chemistry with Molecular Physics and a Year in Industry, Chemistry at Imperial College London
Github Skills (25)
raspbian8
ctypes8
paraview7
jython7
arm6
csg6
emacs6
pdf6
pdf-viewer6
java6
nextcloud5
vtk5
raspberry-pi5
3d5
pdf-files5
Programming languages (5)
Github contributions (5)
CalumFreeman/JyNI
Jul 2018 - Sep 2018
Enables Jython to load native CPython extensions.
Contributions:75 commits, 2 PRs, 31 pushes in 2 months
cpython-extensionsjython
CalumFreeman/absorption
Aug 2022 - Sep 2022
Contributions:6 pushes, 1 branch in 1 month
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