Tamara Kolda, Sandia National Laboratories
Fine Hall 214

Abstract: TBA


Dr. Kolda is a Distinguished Member of the Technical Staff at Sandia National Laboratories. She has led numerous projects in computational science and data analysis on topics in multilinear algebra and tensor decompositions, graph models and algorithms, data mining, optimization, nonlinear solvers, parallel computing and the design of scientific software. Her work has been cited more than 13,000 times.

Her work has received several honors, including a 2003 Presidential Early Career Award for Scientists and Engineers (PECASE), an R&D100 award, and three best paper prizes at international conferences. She was named a Distinguished Scientist of the Association for Computing Machinery (ACM) in 2011 and a Fellow of the Society for Industrial and Applied Mathematics (SIAM) in 2015.

She has given keynote and plenary talks at a variety of meetings including the Joint Mathematics Meeting (JMM), the International Symposium on Mathematical Programming (ISMP), the SIAM Conference on Computational Science & Engineering (CS&E), the SIAM Annual Meeting, and the IEEE International Conference on Data Mining (ICDM).

She is currently an elected member of the SIAM Board of Trustees and a member of the National Academies’ Board on Mathematical Sciences and Analytics. She is the founding Editor-in-Chief for the new SIAM Journal on the Mathematics of Data Science (SIMODS), launched in 2018, and serves as associate editor for both the SIAM Journal on Scientific Computing (SISC) and SIAM Journal on Matrix Analysis and Applications (SIMAX).