Biography

Dr. Kolda has been at Sandia National Labs in California since 1999 and is a Distinguished Member of the Technical Staff. She was previously the Alston S. Householder Postdoctoral Fellow in Scientific Computing at Oak Ridge National Labs in Oak Ridge, TN. She holds a Ph.D. in Applied Mathematics from the University of Maryland, College Park (UMCP) and a B.S. in Mathematics from the University of Maryland, Baltimore County (UMBC).

Dr. Kolda’s research is in the broad area of computational engineering and data sciences. Her work in tensor decompositions, graph models and algorithms, data mining, numerical optimization, linear algebra, high performance computing, and scientific software has been cited over 19,000 times. She co-developed the widely-used Tensor Toolbox for MATLAB as well as many other software packages.

Recognitions for Dr. Kolda include 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 elected a Fellow of the Society for Industrial and Applied Mathematics (SIAM) in 2015, a Fellow of the Association for Computing Machinery (ACM) in 2019, and a member of the National Academy of Engineering (NAE) in 2020.

Active in professional service, Dr. Kolda was an elected member of SIAM Board of Trustees from 2011-2020 (3 terms). During her time on the board, she helped to develop the SIAM Journal on the Mathematics of Data Science (SIMODS) and serves as its founding Editor-in-Chief. She is also a member of the National Academies’ Board on Mathematical Sciences and Analytics (BMSA).

CV (PDF)

Recent Headshot: 4MB

• Conference on Learning Theory (COLT2021)

  Boulder, CO, Jul 7, 2021 - Jul 10, 2021 (Senior Program Committee)

• MSRI Summer School: Mathematics of Big Data: Sketching and (Multi-) Linear Algebra

  MSRI, Berkeley, CA, Jun 21, 2021 - Jul 2, 2021 (Lecturer)

• SIAM Conference on Applied Linear Algebra (LA21)

  New Orleans, LA, May 17, 2021 - May 21, 2021 (Minisymposium Speaker)

• Randomized Algorithms for Scientific Computing (RASC)

  Online, Dec 2, 2020 - Dec 3, 2020 (Co-Chair)

• Rising Stars in Computational and Data Sciences

  Online, Oct 13, 2020 (Co-organizer)

• Sayas Numerics Seminar: Online Seminar on Computational Mathematics

  Online, Oct 6, 2020 (Speaker)

• National Academy of Engineering (NAE) Introduction to Class of 2020

  Online, Oct 4, 2020 (Inductee)

• One World Mathematics of INformation, Data, and Signals (OW-MINDS) Seminar

  Online, Jul 23, 2020 (Speaker)

• SIAM Imaging Sciences (IS20)

  Online, Jul 15, 2020 (Minisymposium Speaker)

• FEASTPACK - MATLAB and C codes for graph analysis, including BTER code for graph generation and our wedge sampling technique for triangle counting
• Poblano Toolbox for MATLAB - Large-scale algorithms for unconstrained nonlinear optimization
• HOPSPACK - A C++ hybrid optimization parallel search package for derivative-free optimization
• MET - Memory-efficient Tucker computation (requires Tensor Toolbox)
• Tensor Toolbox for MATLAB - Higher-order operations of multidimensional arrays
• NOX - A C++ Nonlinear Solver Package
• Trilinos - A suite of high-performance numerical codes (including NOX)
• APPSPACK - A C++ derivative-free optimization package
• SDDPACK - C and MATLAB code for the semi-discrete matrix decomposition

• tammy.kolda@mathsci.ai  (preferred) or tammy.kolda@gmail.com
• Sandia National Labs, Livermore, California, USA