Kjell Jorner
Assistant Professor at ETH Zürich
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolKjell Jorner is an Assistant Professor leading the Digital Chemistry Laboratory at ETH Zürich, where he develops computational tools to accelerate chemical discovery. With eight years of research experience spanning a PhD in organic chemistry and postdoctoral roles at Uppsala, Chalmers, Toronto and AstraZeneca, he blends deep domain knowledge in physical organic and photochemistry with practical software engineering in Python and Fortran. He has a track record of publishing widely, automating lab workflows through custom code, and building predictive models for chemical reactivity used in pharmaceutical development. Known for translating complex theory into reproducible digital workflows, he combines academic rigor with industry-relevant applications and international collaboration experience.
8 years of coding experience
Doctor of Philosophy - PhD, Organic Chemistry, Doctor of Philosophy - PhD, Organic Chemistry at Uppsala University
Swedish, English, German, French
Github Skills (193)
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
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