Nancy Lynch

Nancy Ann Lynch (born January 19, 1948)[1] is a professor at the Massachusetts Institute of Technology. She is the NEC Professor of Software Science and Engineering in the EECS department and heads the Theory of Distributed Systems research group at MIT's Computer Science and Artificial Intelligence Laboratory.

She is the author of numerous research articles about distributed algorithms and impossibility results, and about formal modeling and validation of distributed systems (see, e.g., input/output automaton). She is the author of the graduate textbook "Distributed Algorithms".[2] She is a member of the National Academy of Sciences, the National Academy of Engineering, and an ACM Fellow.[3]

Lynch was born in Brooklyn, and her academic training was in mathematics, at Brooklyn College and MIT, where she received her Ph.D. in 1972 under the supervision of Albert R. Meyer.[4] She served on the math and computer science faculty at several other universities, including Tufts University, the University of Southern California and Georgia Tech, prior to joining the MIT faculty in 1982. Since then, she has been working on applying mathematics to the tasks of understanding and constructing complex distributed systems.

Recognition

References

  1. ↑ Who's who of American women. Marquis Who's Who, 1973. p. 587.
  2. ↑ Lynch, Nancy (1996). Distributed Algorithms. San Francisco, CA: Morgan Kaufmann Publishers. ISBN 978-1-55860-348-6.
  3. ↑ "Nancy A Lynch – Award Winner". Association for Computing Machinery. Retrieved 31 October 2013.
  4. ↑ Nancy Lynch at the Mathematics Genealogy Project
  5. ↑ "NAE Members Directory - Dr. Nancy A. Lynch". NAE. Retrieved December 31, 2010.
  6. ↑ "IEEE Emanuel R. Piore Award Recipients" (PDF). IEEE. Retrieved December 31, 2010.
  7. ↑ "Lynch named Athena Lecturer". MIT News. 18 April 2012. Retrieved 31 October 2013.
  8. ↑ "National Academy of Sciences Members and Foreign Associates Elected". Retrieved 2016-05-05.


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.