Daniel Alan Spielman received his B.A. in Mathematics and Computer
Science from Yale in 1992, and his Ph.D in Applied Mathematics from
M.I.T. in 1995. He spent a year as a NSF Mathematical Sciences Postdoc
in the Computer Science Department at U.C. Berkeley, and then taught
in the Applied Mathematics Department at M.I.T. until 2005. Since
2006, he has been a Professor at Yale University. He is presently
the Henry Ford II Professor of Computer Science, Statistics and Data Science,
Mathematics, and Applied Mathematics.
He has received many awards, including the 1995 ACM Doctoral Dissertation
Award, the 2002 IEEE Information Theory Paper Award, the 2008 and 2015 Godel
Prize, the 2009 Fulkerson Prize, the 2010 Nevanlinna Prize, the 2014 Polya Prize,
an inaugural Simons Investigator Award, and a MacArthur Fellowship. He is
a Fellow of the Association for Computing Machinery and a member of
the Connecticut Academy of Science and Engineering. His main research
interests include the design and analysis of algorithms, network science,
machine learning, digital communications and scientific computing.