Max Veit
Lecturer In Digital Chemistry at University of York
York, England, United Kingdom
Summary
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Senior🎓
Top SchoolMax Veit is a computational scientist and Lecturer in Digital Chemistry at the University of York, with 11 years of experience applying machine learning to atomistic simulation of molecules and materials. His work spans quantum-mechanical potential energy surfaces, development of ML potentials, and efficient atomistic descriptors—he is a developer on librascal and routinely uses LAMMPS and libAtoms/QUIP. Trained at Cambridge (PhD on ML potentials for alkanes) with prior posts at EPFL and Aalto, he blends physics, chemistry and software engineering to push problems just beyond current method expressiveness. He has taught ML in materials modelling to Master's students during a UNITE! guest professorship and has a track record of making research code production-ready. Comfortable with Python ecosystems and IPython notebooks, he focuses on principled, physically informed ML models rather than black-box shortcuts. His background in physics and scientific computing gives him a rare combination of theoretical insight and practical implementation experience.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Chemical Physics, Doctor of Philosophy - PhD, Chemical Physics at University of CambridgeStudy Abroad, Physics, Computer Science, Study Abroad, Physics, Computer Science at Technische Universität MünchenUniversity of Minnesota Twin Cities
German, French, Spanish, Finnish, English
Github Skills (38)
simulation10
quantum-mechanics10
dft10
lammps10
dynamics10
brain-computer-interface10
representations10
physics10
atomic10
quip10
abaqus10
factorization10
materials-informatics9
scale9
scalable9
Programming languages (5)
Github contributions (5)
max-veit/pyutils
Nov 2016 - Sep 2020
Contributions:16 pushes, 1 branch, 1 comment in 3 years 10 months
max-veit/velociraptor
Mar 2019 - May 2021
Contributions:1 release, 156 commits, 7 pushes in 2 years 2 months
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