Bio

A short bio you can use for talk announcements.

Kevin Jablonka is a researcher with over 30 peer-reviewed publications in machine learning for materials science and digital chemistry. He leads an independent research group at the Helmholtz Institute for Polymers in Energy Applications of the University of Jena and the Helmholtz Center Berlin. Kevin has received numerous awards, such as the Dimitris N. Chorafas Foundation award for outstanding Ph.D. work. He is an active member of the scientific community, serving as a peer reviewer for over 20 journals and as an area chair for machine learning conferences. Kevin belongs to a new generation of scientists with a broad skill set, combining expertise in chemistry, materials science, and artificial intelligence. His research focuses on the digitization of chemistry, from developing electronic lab notebook ecosystems to creating toolboxes for digital reticular chemistry. Recently, Kevin has been at the forefront of applying Large Language Models (LLMs) to chemistry and materials science, co-organizing hackathons and workshops in this rapidly evolving field. Kevin’s research addresses challenges across scales, from atomic-level simulations to pilot plant operations, pushing the boundaries of AI-accelerated discovery in chemistry and materials science.

Shorter version

Kevin Jablonka leads an independent research group at the Helmholtz Institute for Polymers in Energy Applications of the University of Jena and the Helmholtz Center Berlin where we focusses on designing materials that work in the real world using data-driven techniques. He belongs to a new generation of scientists with a broad skill set, combining expertise in chemistry, materials science, and artificial intelligence. Recently, Kevin has been at the forefront of applying Large Language Models to chemistry and materials science.

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If you need a headshot, you can use one of these (photographer: Marina Romanova/HIPOLE Jena).

Short CV

Key Career Milestones

Jun 2023 - Present: Independent Research Group Leader (Tenure Track with right to award doctoral degrees)
CZS Research Group at HIPOLE Jena and Friedrich-Schiller University Jena

Jul 2024 - Present: Red Teamer (Independent Contractor)
OpenAI

Aug 2019 - Jun 2023: Ph.D. in Chemistry and Chemical Engineering
École polytechnique fédérale de Lausanne (EPFL), Switzerland
Dimitris N. Chorafas Foundation award for outstanding Ph.D. work
Doctoral program Top 8% Thesis Distinction

Sep 2017 - Jul 2019: MSc. in Chemistry (high distinction, 5.95/6.00)
École polytechnique fédérale de Lausanne (EPFL), Switzerland
2nd best GPA among all master graduates at EPFL, best GPA in chemistry

Oct 2014 - Aug 2017: BSc. in Chemistry (high distinction, 1.2/1.0)
Technical University of Munich, Germany

Academic Summary

Leadership

Research group with >12 members. Founder of the LAMALab focused on AI-accelerated materials discovery. Lead of the “Artificial-intelligence Toolkit” of the FAIRMat NFDI consortium. Co-Leader of WG3 (Multi-modal machine learning methods) in DAEMON COST action. Organized global LLM hackathons for materials science, resulting in publications with >40 co-authors.

Research Impact

Research highlighted, among others, in Nature Reviews Materials, Materials Today, Chemistry World, MIT Technology Review, and RTS Radio Télévision Suisse. See Google Scholar. Over 43% of first- or corresponding author papers in Nature/Science family.

Funding

Secured over €4M as PI from diverse sources, including Carl-Zeiss Foundation, OpenPhilanthropy, Intel-Merck, and Helmholtz Foundation Model Initiative.

Teaching Innovation

Developed flipped classroom ML courses. Created open educational resources: online book on LLM data extraction methods and interactive web environments for spectroscopy teaching. Guest lecturer at international schools.

Mentorship

Currently mentoring 9 Ph.D. students and 2 M.Sc. students. Trained in scientific leadership by the Helmholtz Leadership Academy. Nominated for “best research environment” award by the Young Academy.

Public Impact

Featured on AI podcasts (e.g. from ARD). Jury member and mentor for German national student science fairs. Speaker at Young Chemists Network of the German Chemical Society. Hands-on workshop organizer for international hackathons, workshops and conferences.

Selected Honors

  • Finalist for “Rising Star in Computational Materials Science” (2025)
  • Dimitris N. Chorafas Foundation award for outstanding Ph.D. thesis (2023)
  • Member of the CAS FutureLeaders 2022 cohort
  • Alfred-Werner scholarship by the Swiss Chemical Society (2017)
  • Scholarship by the German scholarship foundation (Studienstiftung des Deutschen Volkes, 2015)