Helmholtz AI consultants @ FZJ

Stefan Kesselheim

Team leader

To ensure a close exchange of research and support, the Helmholtz AI team at Jülich Supercomputing Centre consists of the research-oriented cross-sectional team deep learning (CST-DL) and the high-level support team of Helmholtz AI consultants. These intertwined teams are jointly coordinated by Morris Riedel and Jenia Jitsev, who define and coordinate the scientific direction of Helmholtz AI’s activities at JSC, including related support activities, in line with Helmholtz AI’s scientific objectives. 

The CST-DL focuses on large-scale self-organizing continual learning transferable across multiple tasks and domains. This includes, for instance, generic methods for meta-learning, or integrating data generators, such as classical physics-based simulations, into the learning pipeline to form adaptive closed loops containing both forward and inverse models. CST-DL works closely with Helmholtz AI consultants.

The Helmholtz AI consultant team @ JSC, led by Stefan Kesselheim, perform software engineering and research support for large-scale distributed machine / deep learning. Helmholtz AI consultants work closely together with the CST-DL to make results and tools arising from research available to the broad scientific community and the general public. The consultants will also take care of maintenance of open source machine / deep learning tools (e.g., TensorFlow, pyTorch, or specialized libraries for instance for large-scale distributed training or hyperparameter tuning, etc.) and datasets important for the machine / deep learning community, including establishing easily accessible resources and documentation of available platforms and tools. They also disseminate best practices in software engineering for machine / deep learning research and support organization of community events such as workshops, hackathons, symposia and conferences.

Questions or ideas? consultant-helmholtz.ainoSp@m@fz-juelich.de