Sofya Raskhodnikova
American computer scientist
From Wikipedia, the free encyclopedia
Sofya Raskhodnikova (born 1976)[1] is an American theoretical computer scientist. She is known for her research in sublinear-time algorithms, information privacy, property testing, and approximation algorithms, and was one of the first to study differentially private analysis of graphs. She is a professor of computer science at Boston University.[2]
Sofya Raskhodnikova | |
|---|---|
| Born | 1976 (age 49–50) |
| Alma mater | Massachusetts Institute of Technology |
| Scientific career | |
| Institutions | Boston University |
| Michael Sipser | |
Notable students | Grigory Yaroslavtsev |
Education and career
Raskhodnikova completed her Ph.D. at the Massachusetts Institute of Technology in 2003. Her dissertation, Property Testing: Theory and Applications, was supervised by Michael Sipser.[3]
After postdoctoral research at the Hebrew University of Jerusalem and the Weizmann Institute of Science, Raskhodnikova became a faculty member at Pennsylvania State University in 2007. She moved to Boston University in 2017.[2][4]
Other activities
While a student at MIT, Raskhodnikova also competed in ballroom dancing.[5] She has been one of the organizers of TCS Women, a community for women in theoretical computer science.[6]