Elaine Shi

Elaine Runting Shi is a Chinese and American computer science and cryptographer, whose research has included work on blockchain and smart contracts, secure distributed systems and the Sybil attack on these systems, and the oblivious RAM model for data-private outsourced computation. She is an associate professor of computer science at Cornell University.[1]

Education and career

Shi is originally from Hangzhou, and did her undergraduate studies at Tsinghua University[2] before completing her doctorate in 2008 at Carnegie Mellon University.[1] Her dissertation, Evaluating Predicates over Encrypted Data, was supervised by Adrian Perrig.[3]

She worked as a researcher at PARC and the University of California, Berkeley, and as an assistant professor at the University of Maryland, College Park[4] before joining the Cornell faculty in 2015.[5][2]

She went on leave from Cornell in 2017 to become chief scientist at digital currency startup ThunderCore, returning to Cornell in 2019.[5][6]

References
  1. "Elaine Shi", Faculty directory, Cornell Engineering, retrieved 2020-05-22
  2. "Welcome Elaine Shi", Spotlights, Cornell Engineering, retrieved 2020-05-22
  3. Elaine Shi at the Mathematics Genealogy Project
  4. Elaine Shi, Simons Institute, retrieved 2020-05-22
  5. Weiner, Yitzi (July 25, 2018), "Meet The Women Of The Blockchain: Elaine Shi, Chief Scientist at ThunderCore", Authority Magazine
  6. Lee, Sam (August 7, 2019), "ThunderCore under Pressure as Chief Scientist Leaves amid Price problems", Asia Crypto Today
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.