At this year's “SPARC FAIR Codeathon”, Max Haberbusch received a prize of 15,000 US dollars.
The event, funded by the National Institute of Health (NIH) in the USA, focused on improving the “FAIRness” (Findability, Accessibility, Interoperability, Reusability) of digital research resources.
To this end, he and his team had developed “SPARC.RL” - a user-friendly toolchain that aims to make the application of reinforcement learning in the control of medical devices more accessible for biomedical research.