Yulia Sandamirskaya is a Research Scientist at Intel Labs in Munich, where she leads the Applications Research group of the Neuromorphic Computing Lab. Yulia identifies promising applications of neuromorphic computing hardware and develops neuromorphic algorithms and systems for efficient low-power learning agents. She uses spiking neural network architectures deployed on neuromorphic hardware to solve perception, learning, and motor control tasks. Yulia has a degree in Physics from the Belarussian State University and Dr. rer. nat. from the Institute for Neural Computation of the Ruhr-University Bochum, Germany. She led the Neuromorphic Cognitive Robots group at ETH Zurich and University of Zurich, where she was the coordinator of NEUROTECH: Coordination and Support Action in Neuromorphic Computing Technology. She keeps the link to academic neuromorphic research ecosystem, supporting the Intel Neuromorphic Research Community.