Mark Spillman is a seasoned science software engineer blending chemistry, crystallography, and machine learning to build practical, scalable software for materials research. Based in Cambridge, UK, he brings a decade of experience across academia, government, and industry. He is currently a Member of Technical Staff at CuspAI, applying machine learning to crystal structure determination from powder diffraction data and other scientific software challenges. In previous roles at BIOVIA, he led Materials AI initiatives and served as a machine learning engineer, translating research into deployable solutions. He holds a PhD in crystal structure determination from powder diffraction data from the University of Reading and has a strong track record in teaching and industry-academic collaborations, including postdoctoral work with RSSL.
10 years of coding experience
2 years of employment as a software developer
Master's Degree, Chemistry, Master's Degree, Chemistry at University of Oxford
Doctor 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
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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