Matthias Sachs

Lecturer (Assistant Professor) In Mathematics And AI

United Kingdom
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Summary

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Senior
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Matthias Sachs is a Lecturer (Assistant Professor) in Mathematics and AI with nine years of experience developing computational methods at the intersection of applied mathematics, Bayesian statistics and machine learning. His research has produced scalable MCMC algorithms for Bayesian posterior computation, equivariant architectures for tensor-valued quantities and machine-learned interatomic potentials, and active learning strategies for ML potentials and coarse-graining. He has held research and postdoctoral roles at leading institutions (Duke, UBC, SAMSI) and translated methods into applied projects such as ANN-based clustering of clinical time-series for Bayer. Based in the UK with a PhD from Edinburgh and training in Munich and Tsinghua, he combines rigorous mathematical foundations with practical algorithm engineering for science and engineering problems. An under-the-radar strength is his focus on equivariant, dynamics-preserving models that bridge molecular simulation fidelity and scalable Bayesian inference.
code10 years of coding experience
job7 years of employment as a software developer
bookDipl. Math. Univ., Mathematics and Computer Science, Dipl. Math. Univ., Mathematics and Computer Science at Technical University of Munich
bookDoctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at University of Edinburgh, School of Mathematics
bookExchange student, Exchange student at Tsinghua University
languagesEnglish, German, Chinese
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Github Skills (26)

particle-system9
parameterization9
co-simulation8
anaconda8
pluto8
qt7
zeplin7
language-server-protocol7
ide7
dynamical-systems7
spyder7
julia7
atomic6
gleam6
python6

Programming languages (3)

JuliaJupyter NotebookPython

Github contributions (5)

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ACEsuit/ACEfriction.jl

Nov 2024 - Jun 2026

Machine Learning Friction Tensors with ACE
Contributions:1 release, 1 review, 7 PRs in 1 year 7 months
machine-learning
ACEsuit/ACEbonds.jl

Aug 2022 - Nov 2024

Extension of ACE.jl to Atomic Bond Environments
Contributions:4 PRs, 19 pushes, 4 branches in 2 years 3 months
acebondjuliaatomicenvironments
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