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.

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
Department of Biosystems Science and Engineering, Basel, Switzerland

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

  • Bioinformatics
    University of New South Wales, Sydney
    Center for Health Informatics, Australia

  • Bioinformatics & Data-Warehouse
    University of Cambridge, U.K.
    FlyMine/InterMine Gruppe, Cambridge, U.K., (in collaboration with the European Bioinformatics Institute)

  • Bioinformatics & Data-Warehouse
    European Bioinformatics Institute (EBI)
    Proteomics Services Gruppe, Hinxton, U.K., (in collaboration with the University of Cambridge)

2006–2011

Student in Bioinformatics at the University of Applied Sciences Weihenstephan-Triesdorf

2023

“Real-time nutrient sensing for mapping fertilizer needs (LiveSen-MAP)”, funded by the “European Innovation Council (EIC) Transition” (own budget ~256’000€, 3 years)

2022

“Development and evaluation of weed application maps for the use of robots for mechanical weed control (EWIS2)”, funded by the “Bayerisches Staatsministerium für Ernährung, Landwirtschaft und Forsten” (own budget ~249’000€, 3 years)

2021

“New machine learning techniques for more accurate plant breeding by integrating heterogeneous external factors (CropML)“, funded by the BMBF, ~270’000 EUR, 3 years

2021

“Reinforcement Learning for Automated Flowsheet Synthesis of Steady-State Processes”, funded by the DFG (German Research Foundation), ~315’000 EUR, 3 years

2021

“Glycosid Produktion”, funded by the “Bayrisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie” together with TUM and three industry partners (own budget ~152’000 EUR, 2 years)

2020

“Evaluation and development of modern methods of artificial intelligence for automatic weed detection in sorghum using drones” (EWIS), funded by the “Bayerisches Staatsministerium für Ernährung, Landwirtschaft und Forsten” with ~0.55 million EUR, joint project with the TFZ and LfL, (own budget ~244’000 EUR, 3 years)

2020

“Digitale Management-Unterstützungssysteme für kleine und mittelständische Unternehmen in Wertschöpfungsketten von Zierpflanzen, Stauden und Schnittblumen” (PlantGrid), funded by the Federal Office for Agriculture and Food with ~1.4 million EUR, 5 labs, >10 industry partners (own budget ~220’000 EUR, 3 years)

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.