Kevin Jablonka
Principal Investigator
Jena, Thuringia, Germany
Summary
👤
Senior🎓
Top SchoolKevin Jablonka is a Principal Investigator leading a research group at the Helmholtz Institute for Polymers in Energy Applications, where he develops techniques, datasets, and tools to enable rational materials design for real-world applications. With eight years of research experience spanning EPFL doctoral work, industry internships at BASF and Boehringer Ingelheim, and formal training in chemistry and applied data science, he bridges computational chemistry, machine learning, and high-throughput workflows. His team was among the early adopters applying large language models to chemistry, reflecting a willingness to push methodological boundaries. Kevin combines hands-on modeling (DFT) and ML workflow development with a focus on reproducible tools and datasets that accelerate materials discovery.
8 years of coding experience
Bachelor of Science - BS, Chemistry, Bachelor of Science - BS, Chemistry at Technical University of MunichMaster of Science - MS, Chemistry, Master of Science - MS, Chemistry at EPFL (École polytechnique fédérale de Lausanne)Certificate of extended studies, Applied Data Science: Machine Learning, Certificate of extended studies, Applied Data Science: Machine Learning at EPFL Extension School
English, German, Polish
Github Skills (200)
benchmark10
lift10
systems-biology10
pinning10
materials-informatics10
ab-initio10
python10
chemistry10
index-html10
machine-learning10
openxml10
criterion10
configurations10
forge10
crystallography10
Programming languages (15)
Github contributions (5)
lamalab-org/toolminutes
Oct 2023 - Feb 2025
Contributions:63 reviews, 20 PRs, 68 pushes in 1 year 4 months
kjappelbaum/awesome-chemistry-datasets
Feb 2023 - Feb 2023
Contributions:21 reviews, 50 commits, 37 PRs in 15 days
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