Dawn Song

Dawn Song is a Chinese American academic and is a professor at the University of California, Berkeley,[1] in the Electrical Engineering and Computer Science Department.[2]

Not to be confused with Dawn song.
Dawn Song
Alma materTsinghua University, Carnegie Mellon University, University of California, Berkeley
AwardsMacArthur Fellowship (2010)
Scientific career
Fieldselectrical engineering, computer science
InstitutionsCarnegie Mellon University, University of California, Berkeley

She received a MacArthur Foundation Fellowship in 2010.[3]

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.

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.

Recognition

Song is the recipient of numerous awards, including a Sloan Fellowship, an NSF CAREER Award, the IBM Faculty Award, a Guggenheim fellowship,[4] and a MacArthur Foundation Fellowship.[5] In 2009, the MIT Technology Review TR35 named Song as one of the top 35 innovators in The World under the age of 35.[6] She was elected as an ACM Fellow in 2019 "for contributions to security and privacy".[7]

References
  1. "Dawn Xiaodong Song's Home Page". Retrieved 2011-05-24.
  2. "Dawn Song | EECS at UC Berkeley". eecs.berkeley.edu. 2011-05-13. Retrieved 2011-05-24.
  3. "Dawn Song". John D. and Catherine T. MacArthur Foundation. Retrieved 2011-05-24.
  4. "Archived copy". Archived from the original on 2012-09-23. Retrieved 2011-08-03.CS1 maint: archived copy as title (link)
  5. "UC Berkeley Press Release". Berkeley.edu. 2010-09-28. Retrieved 2011-05-24.
  6. "2009 Young Innovators Under 35". Technology Review. 2009. Retrieved August 15, 2011.
  7. 2019 ACM Fellows Recognized for Far-Reaching Accomplishments that Define the Digital Age, Association for Computing Machinery, retrieved 2019-12-11
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