Fellow: Awarded 2010
Field of Study: Computer Science
Competition: US & Canada
Dawn Song is an Associate Professor in the department of Electrical Engineering and Computer Science at University of California, Berkeley. She obtained her B.S. in Physics from Tsinghua University in China in 1996, her M.S. in Computer Science from Carnegie Mellon University in 1999, and her Ph.D. in Computer Science from UC Berkeley in 2002. Prior to joining UC Berkeley, she was an Assistant Professor at Carnegie Mellon University from 2002 to 2007. Her research interest lies in security and privacy issues in computer systems and networks, including areas ranging from software security, networking security, database security, distributed systems security, to applied cryptography. She is the recipient of various awards including the NSF CAREER Award, the Alfred P. Sloan Research Fellowship Award, the IBM Faculty Award, the George Tallman Ladd Research Award, the Okawa Foundation Research Award, and the Li Ka Shing Foundation Women in Science Distinguished Lecture Series Award. She is also the author of multiple award papers in top security conferences, including the Best Paper Award at the USENIX Security Symposium and the Highest Ranked Paper at the IEEE Symposium on Security and Privacy. Recently she was awarded the MIT Technology Review TR-35 Award, recognizing her as one of the world's top innovators under the age of 35.