Mark Spillman
Member Of Technical Staff at CuspAI
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMark Spillman is a Member of Technical Staff with a decade of experience at the intersection of chemistry, crystallography and machine learning, now applying that expertise to materials-focused AI in Cambridge. He holds a PhD in crystal structure determination from powder diffraction and has moved from academia and teaching roles into industry, leading Materials AI efforts and building production ML solutions. His background combines deep domain knowledge in X-ray analysis and Rietveld methods with practical software and neural network work targeting structure determination from powder data. Colleagues rely on him to translate complex scientific problems into reproducible code and validated workflows that meet industrial constraints. Notably, he has a track record of collaborating across academia, industry and government stakeholders, including tailoring methods for non-academic partners. He brings an unusual blend of classroom pedagogy, hands-on crystallography, and ML engineering to deliver applied scientific software.
10 years of coding experience
2 years of employment as a software developer
Master's Degree, Chemistry, Master's Degree, Chemistry at University of OxfordDoctor of Philosophy (Ph.D.), Crystal structure determination from powder diffraction data, Doctor of Philosophy (Ph.D.), Crystal structure determination from powder diffraction data at University of Reading
Github Skills (10)
diffraction9
crystallography9
powder8
python8
gpu7
pytorch7
spectrum2
monte-carlo2
simulations1
materials-informatics1
Programming languages (3)
Github contributions (5)
mspillman/zmatrix-to-inp
Sep 2015 - Jul 2023
Contributions:24 pushes, 1 branch in 7 years 11 months
mspillman/gallop
Apr 2021 - Nov 2022
Accelerated molecular crystal structure determination from powder diffraction data
Contributions:435 commits, 8 PRs, 198 pushes in 1 year 7 months
pytorchsdpdpythoncrystalgpu
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