Nationality American Institutions MIT | Name Alan Edelman | |
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Thesis Eigenvalues and Condition Numbers of Random Matrices (1989) Doctoral students Ross LippertIoana DumitriuBrian SuttonRaj Nadakuditi Known for Edelman's LawStochastic OperatorInteractive SupercomputingJulia (programming language) Fields Mathematics, Computer Science | ||
Doctoral advisor Lloyd N. Trefethen |
Julia lightning round alan edelman viral b shah
Alan Stuart Edelman (born June 1963) is an American mathematician and computer scientist. He is a Professor of Applied Mathematics at the Massachusetts Institute of Technology and a Principal Investigator at the MIT Computer Science and AI Laboratory (CSAIL) where he leads a group in Applied Computing. In 2004 Professor Edelman founded Interactive Supercomputing, recently acquired by Microsoft.
Contents
- Julia lightning round alan edelman viral b shah
- Ideastream 2013 alan edelman
- Education
- Research
- Awards
- References

Ideastream 2013 alan edelman
Education
An alumnus of Hampshire College Summer Studies in Mathematics, Edelman received the B.S. and M.S. degrees in mathematics from Yale University in 1984, and the Ph.D. in applied mathematics from MIT in 1989 under the direction of Lloyd N. Trefethen. Following a year at Thinking Machines Corp and at CERFACS in France, Edelman went to U.C. Berkeley as a Morrey Assistant Professor and Levy Fellow, 1990-93. He joined the MIT faculty in applied mathematics in 1993.
Research
Edelman's research interests include high-performance computing, numerical computation, linear algebra, and stochastic eigenanalysis (random matrix theory).
Awards
A Sloan fellow, Edelman received an NSF Faculty Career award in 1995. He has received numerous awards, among them the Gordon Bell Prize and Householder Prize (1990), the Chauvenet Prize (1998), the Edgerly Science Partnership Award (1999), the SIAM Activity Group on Linear Algebra Prize (2000), and the Lester R. Ford Award, (2005, with Gilbert Strang). In 2011, Edelman was selected a Fellow of SIAM, "for his contributions in bringing together mathematics and industry in the areas of numerical linear algebra, random matrix theory, and parallel computing." In 2015, he became a Fellow of the American Mathematical Society "for contributions to random matrix theory, numerical linear algebra, high-performance algorithms, and applications."