Machine Learning in Autonomous Systems: Theory and Practice
Daniel Lee is the UPS Foundation Chair Professor in the School of Engineering and Applied Science at the University of Pennsylvania. He received his B.A. summa cum laude from Harvard University and his Ph.D. in Condensed Matter Physics from the Massachusetts Institute of Technology. Before coming to Penn, he was a researcher at AT&T and Lucent Bell Laboratories in the Theoretical Physics and Biological Computation departments. He is a Fellow of the IEEE and AAAI and has received the National Science Foundation CAREER award and the University of Pennsylvania Lindback award for distinguished teaching. He was also a fellow of the Hebrew University Institute of Advanced Studies in Jerusalem, an affiliate of the Korea Advanced Institute of Science and Technology, and has organized the US-Japan National Academy of Engineering Frontiers of Engineering symposium and the Neural Information Processing Systems (NIPS) conference. As director of the GRASP Laboratory and founding director of the CMU-Penn University Transportation Center, his group focuses on understanding general computational principles in biological systems, and on applying that knowledge to build autonomous systems.
Professor , University of Pennsylvania