Niklas D. Dobberstein, M.Sc.

Curriculum Vitae
since 12/2025 PhD Thesis in Applied Machine Learning to Chemistry in the group of Prof. Dr. Frank Glorius, University of Münster 09/2023 - 09/2025 Master Studies in Computer Science, University of Bonn; additionally working part-time at Fraunhofer SCAI /VMD on Generative Models for Molecules and Materials. 09/2020 - 09/2023 Dual study program in Applied Mathematics and Computer Science, University of Applied Science (FH) Aachen; working additionally at Fraunhofer SCAI, Department of Virtual Material Design (VMD) . 08/2012 - 06/2020 Gymnasium Lindlar, with Final Examination (Abitur) Awards and Scholarships
2024 Awarded for being among the top graduates of the Fraunhofer dual studies program 2018 Winning 2nd Place at the national competition “Invent A Chip” Publications
N. Dobberstein, J. Hamaekers,
Materium: An Autoregressive Approach for Material Generation,
arXiv 2025. DOIN. Dobberstein, A. Maass, J. Hamaekers,
Llamol: a dynamic multi-conditional generative transformer for de novo molecular design,
J Cheminform 2024, 16, 73. DOI