Welcome to the Professorship of Bioinformatics at TUM Campus Straubing for Biotechnology and Sustainability
The GrimmLab unites bioinformatics and machine learning to advance data-driven innovation in the bioeconomy. We develop cutting-edge AI and statistical methods to understand how complex biological systems function and how their biochemical properties can be modelled, analysed, and optimised for sustainable applications.
Our research focuses on identifying genotype–phenotype relationships and extracting meaningful phenotypic traits from imaging and omics data, driving progress in genetics, precision medicine, and sustainable agriculture.
An emerging focus of the lab is the development of AI systems capable of learning and reasoning about biology and chemistry without prior domain knowledge, enabling autonomous scientific discovery and supporting the transition to a circular, sustainable bioeconomy.
News
Pupils vote: Josef Eiglsperger named favourite scientist in AI
Success for Josef Eiglsperger: The TUMCS doctoral student was voted favourite scientist in the field of artificial intelligence by hundreds of school pupils as part of the online format I'm a Scientist. Josef Eiglsperger is a research assistant at…
PhD Defense: Maura successfully defended her PhD
All good things come in threes! The next major milestone has been reached. I am very proud of my doctoral student Maura who successfully defended her dissertation. In her thesis, she addressed "Advances in Statistical and Machine Learning Methods for…
PhD Defense: Jonathan successfully defended his PhD
Jonathan successfully defended his PhD, titled “Self-Reflective Deep Learning for Sequential Decision Problems”, achieving the highest grade of summa cum laude.
