Dr. Thomas Hübsch

"Innovation may be at the heart of AI, but transparency is its eyes, responsibility its soul and sustainability its elixir of survival."
+49 (0) 30 310078-5805

Focus of work

  • Artificial Intelligence
  • Machine Learning
  • Neuroinformatics
  • Educational Technologies
  • Promotion of small and medium-sized enterprises

Curriculum vitae

Thomas Hübsch studied computer science at the Karlsruhe Institute of Technology (KIT) and did his doctorate at the Max Planck Institute for Human Cognitive and Brain Sciences in the field of neuroinformatics. His work was awarded the Ernst-Rudolph-Schloessmann Award of the Max Planck Society. Mr Hübsch then worked as a research associate at the MPI for Molecular Genetics in Berlin. Since 2019, Dr Hübsch has been working as a research associate in the Innovation and Cooperation department, where he is responsible for digitalisation, software systems and artificial intelligence. Together with colleagues, he is in charge of the digital support for the INVITE innovation competition of the Federal Ministry of Education and Research. Dr Hübsch works in various projects at the Institute for Innovation and Technology, including on the transparency of artificial intelligence.

Publications

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Wilhelm-Weidner, Arno; Hübsch, Thomas; Straub, Sebastian; Vogel-Adham, Elke; Vogt, Andrea (2024): Large Language Models in der beruflichen Weiterbildung. Handlungsempfehlungen für die zukünftige Förderung
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Hübsch, Thomas; Vogel-Adham, Elke; Vogt, Andrea; Wilhelm-Weidner, Arno (2024): Articulating tomorrow: Large language models in the service of professional training. A contribution by the Digitalbegleitung (technological monitoring and research) within the framework of the German funding programme "Innovationswettbewerb INVITE"
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Hübsch, Thomas; Vogel-Adham, Elke; Vogt, Andrea; Wilhelm-Weidner, Arno (2024): Sprachgewandt in die Zukunft: Large Language Models im Dienst der beruflichen Weiterbildung. Ein Beitrag der Digitalbegleitung im Rahmen des Innovationswettbewerbs INVITE
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Vogt, Andrea; Wilhelm-Weidner, Arno; Hübsch, Thomas; Vogel-Adham, Elke (2023): Nachhaltige Bildungstechnologien in der beruflichen Weiterbildung
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Hübsch, Thomas; Vogel-Adham, Elke; Ritzmann Susanne; Wilhelm-Weidner, Arno (2023): Zukunftsfähige Bildungsplattformen – Monitoring technischer Plattformdimensionen anhand einer multidimensionalen Analysematrix. In: Röpke, R., Schroeder, U. (Hrsg.), DELFI 2023 – 21. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V. Bonn: Gesellschaft für Informatik e.V, S. 161-166.
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Hoehe, Margret R.; Herwig, Ralf; Mao, Qing; Peters, Brock A.; Drmanac, Radoje; Church, George M.; Huebsch, Thomas (2019): Significant abundance of cis configurations of coding variants in diploid human genomes. In: Nucleic Acids Research, Volume 47, Issue 6, 8. April 2019, Pages 2981–2995.
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Suk, Eun-Kyung; Schulz, Sabrina; Mentrup, Birgit; Huebsch, Thomas; Duitama, Jorge; Hoehe, Margret R. (2017): A Fosmid Pool-Based Next Generation Sequencing Approach to Haplotype-Resolve Whole Genomes. In: Methods in molecular biology (Clifton, N.J.), 1551, 223–269.
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Hoehe, Margret R.; Lehrach, Hans; Kroslak, Thomas; Palczewski, Stefanie; Schulz, Sabrina; Suk, Eun-Kyung; Huebsch, Thomas (2014): Multiple haplotype-resolved genomes reveal population patterns of gene and protein diplotypes. In: Nature Communications 5: Seite 5569.
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Duitama, Jorge; McEwen, Gayle K.; Huebsch, Thomas; Palczewski, Stefanie; Schulz, Sabrina; Verstrepen, Kevin; Suk, Eun-Kyung; Hoehe, Margret R. (2012): Fosmid-based whole genome haplotyping of a HapMap trio child: evaluation of Single Individual Haplotyping techniques. In: Nucleic Acids Research 40(5): 2041-2053.
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Suk, Eun-Kyung; McEwen, Gayle K.; Duitama, Jorge; Nowick, Katja; Schulz, Sabrina; Palczewski, Stefanie; Schreiber, Stefan; Holloway, Dustin T.; McLaughlin, Stephen; Peckham, Heather; Lee, Clarence; Huebsch, Thomas; Hoehe, Margret R. (2011): A comprehensively molecular haplotype-resolved genome of a European individual. In: Genome Research 21(10): 1672-1685.
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Duitama, Jorge; Huebsch, Thomas; McEwen, Gayle K.; Suk, Eun-Kyung; Hoehe, Margret R. (2010): ReFHap: A Reliable and Fast Algorithm for Single Individual Haplotyping. In: Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 160-169. (ACM, Niagara Falls, New York).
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Huebsch, Thomas; Tittgemeyer, Marc (2007): Multi-Scale Analysis of Brain Surface Data. In: Mathematical Modeling of Biological Systems, Volume II. A. Deutsch, R. Bravo de la Parra, R. de Boer, O. Diekmann, P. Jagers, E. Kisdi, M. Kretzschmar, P. Lansky and H. Metz (eds). Birkhäuser, Boston, 267-276.
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Preul, Christoph; Huebsch, Thomas; Lindner, D.; Tittgemeyer, Marc (2006): Assessment of ventricular reconfiguration after third ventriculostomy: what does shape analysis provide in addition to volumetry? Am J Neuroradiology 27(3): 689-93.