Dr. E. Jason Riedy is a Senior Research Scientist in the School of Computational Science and Engineering at Georgia Tech. His current research focuses primarily on massive scale and streaming graph analysis as encapsulated in the STINGER software framework. He developed a scalable community detection code that won the 10th DIMACS Implementation Challenge's mix competition, and his work in STINGER has produced the first algorithms for multiple streaming graph analysis metrics. STINGER received a best paper award at IEEE HPEC 2012. He continues research in sparse and dense linear algebra including development of the widely used reference BLAS (Basic Linear Algebra Subprograms) and LAPACK (Linear Algebra PACKage) software. He currently serves on the IEEE 754 (IEEE Standard on Floating Point Arithmetic) revision committee and has extended the proposed standard to further support extra precision and reproducible operations. Dr. Riedy has been a Georgia Tech research teaching fellow and continues teaching an undergraduate research class monitoring honey bees and other pollinators in the metro Atlanta area with IoT (Internet of Things) platforms. He also was a research fellow in the Institute for Data and High Performance Computing. 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 targeted high-precision arithmetic.