Members: Technische Universität München

Institute presentation

The Technical University of Munich (TUM) is characterized by a unique profile. Its core domains are natural sciences, engineering, life sciences and medicine. The student body of TUM currently consists of more than 40,000 students and is constantly rising. For the fourth time in a row, TUM took the first place among the German universities in the renowned QS World University Ranking (rank 61 worldwide). TUM was ranked 6th in the Global Employability University Ranking in which companies worldwide evaluate the quality of university graduates. The World University Ranking has rated the Technical University of Munich (TUM) as one of the four best technical universities in Europe.

Prof. Dr. Jan Baumbach chairs the Experimental Bioinformatics department within the host institute TUM School of Life Sciences. Key research and development areas of his laboratory are

• Hosting platforms for combined analyses of molecular networks, diverse omics data, high-throughput data, and patient records (e.g. HitSeekR, pathclass, KeyPathwayMiner, COnVaQ, DiMmer) as open source solutions
• Investigating the molecular mechanisms driving complex diseases using artificial intelligence (AI) methodology and combinatorial optimization
• Computational methods for Systems and Network Medicine, in particular for de novo endophenotyping, mechanotyping and redefinition of diseases by classifying their mechanistic causes rather than relying on symptoms
• Developing bioinformatics tools for the statistical processing of omics raw data, pattern recognition, and biomarker extraction