International Future Laboratory for AI-supported Bioprocess Development
Subproject: Cross-lab machine learning and process execution in the life science sector by connecting the Robotic Screening Laboratory of the University of Greifswald with the Robotic Biotechnology Laboratory of the TU-Berlin.
Scientists from the fields of artificial intelligence, machine learning, bioprocess engineering and protein engineering work very closely together to achieve the following goals, among others:
- the establishment of machine learning and AI in biotechnology and life science applications
- the specification of data storage standards and data transfer standards for complex automation and machine learning applications
- testing these standards, data exchange and machine learning feedback on real robotic platforms
- autonomous, machine-controlled experiments
The KIWI-biolab project is funded with approximately 5 million euros by the Federal Ministry of Research and Science.
Involved Research Groups
Dr. Mark Dörr
Institute of Biochemistry / Dept. of Biotechnology & Enzyme Catalysis
Universität Greifswald
Prof. Dr. Dr. Lars Schmidt-Thieme
Universität Hildesheim
Institut für Informatik
Technische Universität Berlin
Institut für Biotechnologie
Fachgebiet Bioverfahrenstechnik
Projects
- Development of standards for data storage and exchange of complex data for machine learning
- Joint project to develop an industry-relevant enzyme using machine learning methods and the two robot platforms (Greifswald and TU-Berlin)