Machines of the future which are to function autonomously in road traffic or in human health care situations will have to be able to adapt quickly to the circumstances at hand. As a result these machines need the ability to learn from experience and at the same time to ensure the safety of the humans around them.

Prof. Angela Schoellig currently conducts research on these topics and others from the fields of Robotics, Control Engineering and Machine Learning at the Dynamic Systems Lab of the University of Toronto. Her work covers both theoretical and practical applications such as self-driving cars. The native German earned her doctorate in 2013 at the ETH Zurich and has won numerous awards and honors, most recently the Canada CIFAR AI Chair of the Canadian Institute for Advanced Research.

Angela Schoellig will be appointed to the Professorship for Safety, Performance and Reliability for Learning Systems at the TUM Department of Electrical and Computer Engineering and will become a member of the TUM School of Computation, Information and Technology, established as part of the TUM AGENDA 2030. She will reinforce the diverse group of approximately 60 TUM professors with international leading core competencies in Machine Learning and Artificial Intelligence. This scientific mainstay field at TUM will be further reinforced in the upcoming months with strategic new appointments as part of the Hightech Agenda Bavaria. TUM consolidates its expertise in the fields of Machine Learning and Artificial Intelligence on a transdisciplinary basis at the Munich School of Robotics and Machine Intelligence (MSRM), founded in 2017, and the Munich Data Science Institute (MDSI), established in 2020 in the course of the TUM Excellence Strategy.