Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. She is the recipient of various awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, the George Tallman Ladd Research Award, the Okawa Foundation Research Award, the Li Ka Shing Foundation Women in Science Distinguished Lecture Series Award, the Faculty Research Award from IBM, Google and other major tech companies, and Best Paper Awards from top conferences in Computer Security and Deep Learning. She obtained her Ph.D. degree from UC Berkeley. Prior to joining UC Berkeley as a faculty, she was a faculty at Carnegie Mellon University from 2002 to 2007.
Research projects: Dr. Song’s research interest lies in deep learning, security, and blockchain. She combined these as, firstly, deep learning and program synthesis and analysis, secondly, as secure deep learning and rtificial intelligence, and lastly, blockchain and decentralized systems. Her research aslo spans in the sphere pf computer security, privacy, and applied cryptography, including security and privacy issues in systems, software, networking and database, in her research. Dr. Song uses program analysis, algorithms design, and machine learning for security and privacy.