Josh Berryman

Research Scientist With ADR (authorite Diriger Des Recherches). at University of Luxembourg

Luxembourg
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Summary

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Senior
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Top School
Josh Berryman is a research scientist and leader of a junior soft matter/biological self-assembly group at the University of Luxembourg, bringing 13+ years of experience at the interface of physics, computation, and statistical learning. Trained in computational physics (PhD, Leeds) with foundations in physics and AI (Edinburgh), he builds and applies AI, machine learning, and advanced statistical methods to problems ranging from quantum mechanics to epidemiology. An experienced developer of atomistic molecular dynamics tools, he contributes to the AMBER simulation package and specializes in landscape search and algorithm design for large-scale data-driven reasoning. His background spans low-level systems programming to high-level scientific modeling, enabling pragmatic translation of complex theory into reproducible computational workflows.
code13 years of coding experience
job3 years of employment as a software developer
bookBSc & MSc, Physics and AI, BSc & MSc, Physics and AI at The University of Edinburgh
bookMaster of Science (MSc), Physics, Master of Science (MSc), Physics at University of Edinburgh
bookPhD, Computational Physics, PhD, Computational Physics at University of Leeds
languagesEnglish
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Stackoverflow

Stats
21reputation
27kreached
1answer
0questions
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Github Skills (9)

sampling8
espresso6
physics6
python6
numpy6
eigenvalue6
scientific-computing5
esp324
harness3

Programming languages (1)

C++

Github contributions (5)

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freshs/freshs

May 2013 - Jul 2016

Contributions:64 commits, 1 PR, 11 pushes in 3 years 2 months
flexiblepythonraresamplingharness
tojb/amoeba_scripts

Mar 2020 - Dec 2021

Contributions:7 pushes, 1 branch in 1 year 9 months
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