Prof. Grimm discusses at the BioKI Conference in BerlinHow AI is Accelerating the Biological Revolution

Source: https://bit.cs.tum.de/en/news/article/how-ai-is-accelerating-the-biological-revolution Parent: https://bit.cs.tum.de/en/news

2025-11-18 TUMCS, BIT

Prof. Grimm discusses at the BioKI Conference in Berlin How AI is Accelerating the Biological Revolution

Artificial Intelligence (AI) is rapidly gaining importance in the bioeconomy and is transforming both research and industrial applications. How AI can accelerate future biotechnological processes and open entirely new possibilities in molecule development, process control, and scaling was the subject of the BioKI conference, held on November 10 at the Federal Ministry for Research, Technology and Space (BMFTR) in Berlin. Among the participants was Prof. Dr. Dominik Grimm from the TUM Campus Straubing (TUMCS).

Prof. Dr. Grimm (2nd from left) speaking at the BioKI Conference in Berlin

By enabling faster analysis of large datasets, automating complex processes, and optimizing value chains, AI can help improve understanding, design, and utilization of biological systems. How AI can accelerate the biotechnological revolution was the focus of a panel discussion featuring Philipp Heuermann from Ginkgo Bioworks, Christian Spier from Differential Bio, Prof. Dominik Grimm from TUMCS, and Laura Helleckes from Imperial College London. The exact topic of the discussion was: “From Molecules to Biorefineries: How Will AI Accelerate the Biological Revolution?”

Prof. Grimm particularly emphasized the challenges involved in scaling biotechnological processes. “We need intelligent and fast methods to process the huge volumes of data,” he explained, noting that intermediate steps in scaling are crucial for bringing processes into production more quickly and obtaining real-world data for further optimization.

As an expert in bioinformatics and machine learning, Grimm conducts research on computational methods aimed at more efficiently analyzing and optimizing biological and chemical systems. His goal is to advance sustainable applications in the life sciences and agriculture. Since 2018, he has been Professor of Bioinformatics at the Weihenstephan-Triesdorf University of Applied Sciences (HSWT) at the TUM Campus Straubing for Biotechnology and Sustainability.