Dawn Song is a Chinese American academic and is a professor at the University of California, Berkeley,  in the Electrical Engineering and Computer Science Department.^[1]

She received a MacArthur Foundation Fellowship in 2010.

Education

Song earned her B.S. (1996) from Tsinghua University, her M.S. (1999) from Carnegie Mellon University, and her Ph.D. (2002) from the University of California, Berkeley.^[2]

Career

Song became an assistant professor at Carnegie Mellon University (2002–2007) before joining the faculty at the University of California, Berkeley in 2007.

Song's work focuses on computer security, machine learning, and blockchain. She founded a startup, Oasis Labs, which focuses on technical solutions to keep data locked down and secure.

“We need new technologies to provide better data protection,” she says. The idea builds on the concept of differential privacy—cryptographic techniques that allow companies to use data for their algorithms without revealing the individual data points.

The company uses blockchain technology to offer secure storage for the data.

Song is the recipient of numerous awards, including a Sloan Fellowship, an NSF CAREER Award, the IBM Faculty Award, a Guggenheim fellowship,  and a MacArthur Foundation Fellowship.  In 2009, the MIT Technology Review TR35 named Song as one of the top 35 innovators in The World under the age of 35.^[3]

Publications

D. Lee, D. Kohlbrenner, S. Shinde, K. Asanović, and D. Song, "Keystone: An Open Framework for Architecting Trusted Execution Environments," in Proceedings of the Fifteenth European Conference on Computer Systems, EuroSys'20, 2020.

C. Y. Cho, V. D'Silva, and D. Song, "Blitz: Compositional Bounded Model Checking for Real-world Programs," in Proceedings of the 28th IEEE/ACM International Conference on Automated Software Engineering, 2013.

D. Caselden, A. Bazhanyuk, M. Payer, L. Szekeres, S. McCamant, and D. Song, "Transformation-aware Exploit Generation using a HI-CFG," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2013-85, May 2013.^[4]

T. H. Chan, E. Shi, and D. Song, "Private and Continual Release of Statistics.," in Proceedings of the 37th international colloquium conference on Automata, languages and programming: Part II, ICALP'10, Berlin, Heidelberg: Springer-Verlag, 2010, pp. 405--417.

H. Yin, P. Poosankam, S. Hanna, and D. Song, "HookScout: Proactive Binary-Centric Hook Detection.," in Seventh Conference on Detection of Intrusions and Malware & Vulnerability Assessment.( DIMVA 2010), 2010.