Welcome to the website of the Professorship of Bioinformatics at TUM Campus Straubing for Biotechnology and Sustainability
The research lab 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.
News
Artificial Intelligence in the Life Sciences: Why AI models often fail in practice
Artificial intelligence (AI) based on machine learning offers opportunities for the life sciences. However, problems often arise in practice. One cause is data leakage, the illicit spillover of information from the training to the test data.…
TUMCS professors involved in future study
The future study DAS DEEP TECH MANIFEST: WECKRUF FÜR EINEN SCHLUMMERNDEN RIESEN: How we lead Deep Tech in Germany to sustainable success was recently presented in Munich. Two professors from TUMCS, Prof. Claudia Doblinger (Technology and Innovation…
Deep learning for complex discrete optimisation problems
PhD student Jonathan Pirnay and Prof. Dr Dominik Grimm, HSWT, have developed new machine learning methods to solve complex discrete optimisation problems using neural networks.
