Rebecca Steinert holds a B. Sc. in real-time systems since 2002 and received her M.Sc. degree in computer science with emphasis on autonomous systems and machine learning in 2008. In 2014, she finished her PhD in probabilistic fault management and performance monitoring in networked systems at KTH, Royal Institute of Technology, Stockholm.
She joined RISE Research Institutes of Sweden (formerly SICS Swedish Institute of Computer Science) in 2006. She is currently driving research within applied machine learning for intelligent autonomous networked systems, and is the leader of the Network Intelligence research group since 2015. Her research interests currently include probabilistic modeling, deep learning and combinatorial optimization applied in programmable networks and distributed systems.