Biographical sketch

E. Jason Riedy is faculty in the School of Computational Science and Engineering at Georgia Tech as a Research Scientist II. He works primarily with Dr. David A. Bader on developing tools and algorithms for dynamic social network analysys. His software framework for parallel analysis of massive, streaming graph data (STING) supports many different analyses of real, dynamic data. He has codes extending (and included within) the widely used packages LAPACK and the extended-precision BLAS (XBLAS). He has contributed to GNU Octave, GNU Emacs, GNU R packages, git, and other free software. He was a member of the IEEE 754 revision committee and has presented widely on software development and research. His dual B.S. in Computer Science and Mathematics is from the University of Florida in 1998. His Ph.D. in Computer Science is from the University of California, Berkeley in 2010 in combinatorial optimization and targetted high-precision arithmetic.

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