The Berlin-BioTECH Symposium brings together experts working at the interface of AI and biotechnology. This year’s focus is on federated and privacy-preserving machine learning approaches that enable collaborative model development and knowledge transfer across institutions.

We will explore how technologies such as agentic AI, federated learning and blockchain can transform data management and intellectual property protection, while also addressing practical challenges like data governance, standardization and regulation. The symposium offers a space for open exchange between academia and industry and aims to spark new collaborations in bioprocess development.

Agenda

26.11.2026
12:00-13:00 Registration and snacks
13:00-13:30 Welcome
13:30-15:30 Federated learning and distributed laboratories: Gerhard Wunder (FU Berlin), Stefan Schulte (TU Berlin), Carina Fresemann (TU Berlin)
15:30-16:15 Coffee break
16:15-18:15 Agentic AI in bio- and chemical engineering: Matthias Franzeb (KIT), Luis Ricardez-Sandoval (University of Waterloo), Bastian Rühle (BAM)
>From 18:15 Get-together & light dinner

27.11.2026
9:30-11:30 Blockchain data management and FAIR data: Stefan Schmid (TU Berlin), Stefan Tai (TU Berlin), Katinka Wolter (FU Berlin)
11:30-12:30 Lunch break
12:30-14:45 How can AI transform the biotech industry? Alexander Gierse (Siemens), Andreas Traube (BioIntelligence), Niko Sonnenschein (dsm-firmenich).
14:45 Farewell coffee & cake 
16:00 End of symposium

Registration is now open. Speakers and the full program will be announced soon.