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4th Berlin-BioTECH Symposium “Secure Federated AI in Bio- & Chemical Engineering”
Our symposium brings together experts working at the interface of AI and biotechnology. The focus will be on federated and privacy-preserving machine learning approaches that enable collaborative model development and knowledge transfer in bio- and chemical engineering. We will explore how enabling technologies such as agentic AI, federated learning and blockchain can transform data management and intellectual property protection to accelerate innovation and scientific discovery. The program will also address practical challenges, including data governance and AI-readiness, standardization, and regulatory aspects in cross-institutional settings. The event aims to create a space for open exchange between academia and industry and to stimulate new collaborations aiming at radically transforming the digital landscape of bioprocess development by knowledge exchange and reuse.
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)
15:30-16:15 Coffee break
16:15-18:15 Agentic AI in bio- and chemical engineering: Matthias Franzreb (KIT), Luis Ricardez (University of Waterloo) and 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) and Friedhelm Victor (TRM Labs)
11:30-12:30 Lunch break
12:30-14:45 How can AI transform the biotech industry? Alexander Gierse (Siemens), Andreas Traube (BioIntelligence)
14:45 Farewell coffee & cake
16:00 End of symposium
Event location
Gebäude Hardenbergstraße (HBS) TU BerlinHBS 005
Hardenbergstraße 16-18
10623 Berlin
Deutschland
Coordinates (lat, long):
52.507389, 13.328959
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Notes
The conference room is in the ground floor at the right side of the building main entrance.