Kjell Jorner
Research Scientist
Zurich, Zurich, Switzerland
Summary
🤩
RockstarKjell Jorner is Assistant Professor and head of the Digital Chemistry Laboratory at ETH Zurich, focused on accelerating chemical discovery with computational and data-driven tools. Trained as an organic chemist (PhD, Uppsala), he combines academic research and teaching with industry-facing experience from a postdoc at AstraZeneca and further postdoctoral roles in Toronto and at Chalmers. He codes primarily in Python and Fortran, bridging modern machine-learning stacks with high-performance computational chemistry. Over roughly seven years he has led projects, supervised students, and produced a strong publication record and international collaborations spanning North America, Asia, and Europe. He is known for translating synthetic-chemistry problems into programmable workflows that shorten the path from hypothesis to experiment.
8 years of coding experience
Github Skills (200)
python10
forge10
numerics10
mesh10
conda-forge10
statistics10
cheminformatics10
hash10
numba10
fundamental10
pinning10
rdkit10
conda10
interpolation10
blas10
Programming languages (11)
Github contributions (5)
digital-chemistry-laboratory/libdlfind
Jan 2022 - Aug 2022
libdlfind is a C-API and Python interface to the DL-FIND geometry optimization library
Contributions:4 releases, 3 reviews, 15 commits in 7 months
apipythonpython-interfaceoptimizationc-api
digital-chemistry-laboratory/morfeus
Mar 2019 - Nov 2022
A Python package for calculating molecular features
Contributions:9 releases, 4 reviews, 343 commits in 3 years 9 months
molecular-featurespython-packagepythonmolecular
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.