James Krieger
Senior Data Scientist
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJames Krieger is a Senior Data Scientist and computational structural biologist with nine years of cross-disciplinary experience in Cryo-EM, molecular simulations, and Python software development. He has led method and software development (notably as main developer of the ProDy package) to map conformational landscapes, applied to systems ranging from ionotropic glutamate receptors to the SARS-CoV-2 spike, and secured competitive funding including an MSCA fellowship plus a CSIC extension. Comfortable bridging experiment and computation, he has built Cryo-EM analysis plugins in Scipion/Xmipp and contributed new Bayesian reweighting tools that link reconstructions to molecular simulations. Now based in London and transitioning into biotech or pharma, he combines deep domain expertise in structural dynamics with practical ML and time-resolved Cryo-EM data-processing experience at scale. An avid mentor and communicator, he also brings hands-on C++ and Python engineering to make biophysical methods reproducible and production-ready.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Neurobiology, Doctor of Philosophy (PhD) Neurobiology at University of CambridgeMaster of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at University of BathMaster's degree Structural Biology, Master's degree Structural Biology at Imperial College London
Github Skills (104)
python10
forge10
genomics10
structural-biology10
git-repository10
cvs10
biopython10
sequence-alignment10
dynamics10
simulation10
particle10
phylogenetics10
bioinformatics10
protein-structure10
numpy9
Programming languages (9)
Github contributions (5)
conda-forge/prody-feedstock
Sep 2020 - Mar 2025
A conda-smithy repository for prody.
Contributions:25 reviews, 24 PRs, 13 pushes in 4 years 6 months
condasmithy
prody/coMD
Dec 2017 - Aug 2020
This package runs collective molecular dynamics simulations, where collective motions from anisotropic network model normal mode analysis drive all-atom dynamics through targeted molecular dynamics simulations and energy minimization
Contributions:232 commits, 126 PRs, 72 pushes in 2 years 8 months
lammpssimulationanisotropicenergy-minimizationsimulations
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