Metadata
Title
Prof. Dr. Dominik Grimm
Category
general
UUID
b804ef3478a64f79905fad5a8b206291
Source URL
https://bit.cs.tum.de/en/team/dominik-grimm
Parent URL
https://bit.cs.tum.de/en/
Crawl Time
2026-03-10T04:26:45+00:00
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Prof. Dr. Dominik Grimm

Source: https://bit.cs.tum.de/en/team/dominik-grimm Parent: https://bit.cs.tum.de/en/

Prof. Grimm conducts research in the field of bioinformatics and machine learning, focusing on the development of statistical and machine learning methods to better understand complex biological systems, their functioning and biochemical properties. For this purpose, the lab works on methods to detect genotype-phenotype relationships and to extract phenotypic features from imaging data. These methods have applications in genetics, precision medicine, and precision agriculture. An emerging area of research is the development of artificial intelligence to solve problems in life sciences and chemistry without including specific prior knowledge.

Prof. Grimm studied bioinformatics at the Weihenstephan-Triesdorf University of Applied Sciences (2011), with stays abroad at the University of Cambridge, the European Bioinformatics Institute, UK and the University of New South Wales, Sydney, Australia. He received his PhD from the Max Planck Institute (MPI) for Developmental Biology, the MPI for Intelligent Systems, and the University of Tübingen (2015). After a postdoc at the D-BSSE of ETH Zurich (2016) and a short period in industry, he was appointed as professor of Bioinformatics in 2018. Since September 2023 he is member of the ELLIS Society e.V. (European Laboratory for Learning and Intelligent Systems). Further, in October 2023 he got appointed as director of the HSWT site for sustainable resource use at TUM Campus Straubing.

Employment History & Functions

Since 10/2023 : Director of the HSWT site for sustainable resource use at TUM Campus Straubing

Since 09/2023 : Member of the ELLIS Society e. V. (European Laboratory for Learning and Intelligent Systems)

Since 07/2020 : Founding Member of Synthetic Biology Foundry SynBiofoundry@TUM

Since 09/2019 : Affiliated Professor @ TUM Department of Informatics, Technical University of Munich

03/2018 : Professor for Bioinformatics (W2, tenured)\ University of Applied Sciences Weihenstephan-Triesdorf\ TUM Campus Straubing for Biotechnology and Sustainability

08/2016–02/2018 : Scientist, Bioinformatics\ Exosome Diagnostics GmbH, Martinsried

01/2015–07/2016 : PostDoc, Bioinformatics and Machine Learning\ ETH Zürich, Machine Learning and Computational Biology Lab\

12/2013–12/2014 : Scientific Assistant, Bioinformatics and Machine Learning\ Eberhard-Karls-Universität Tübingen

04/2011–11/2013 : PhD-Student, Bioinformatics and Machine Learning\ Max-Planck-Institute for Intelligent Systems & Max-Planck-Institute for Developmental Biology\ Machine Learning and Computational Biology Research Group, Tübingen

Research Internships

Education

2006–2011 : Student in Bioinformatics at the University of Applied Sciences Weihenstephan-Triesdorf

Additional Appointments & Memberships

Awards, Honors & Scholarships

2024 : TMLR “Featured” Certification Award & TMLR to ICLR 2025 Event Certification

2022 : Supervisory Award, first round at TUM Campus Straubing

2021 : Prize for Excellence in Teaching at TUM Campus Straubing

2020 : Prize for Excellence in Teaching at TUM Campus Straubing

2011–2013 : Max Planck Ph.D. Scholarship

2012 : Oral Presentation Prize (Poster), Awarded for outstanding oral presentation, Ph.D. Symposium 2012,\ International Ph.D. Program in the Biological Sciences.\ Max Planck Institute for Developmental Biology, Germany.

2009–2010 : InWent Practical Training Semester Abroad. Scholarship for internship in Australia

2008 : Erasmus. Scholarship for internship in U.K.

2001 : SPURT, Second place at the robotics competition SPURT at the University of Rostock, Germany.

2001 : Jugend forscht, Third place in the regional competition, Passau, Germany.