Biography

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).

CV (PDF)

Recent Headshot: 4MB

• Intl. Conf. on Continuous Optimization ICCOPT 2019

  Berlin, Germany, Aug 3, 2019 - Aug 8, 2019 (Plenary Speaker)

• SIAM Conference on Applied Algebraic Geometry

  Bern, Switzerland, Jul 9, 2019 - Jul 13, 2019 (Invited Speaker)

• 2019 Gene Golub Summer School

  Center Paul-Langevin, France, Jun 17, 2019 - Jun 28, 2019 (Lecturer)

• ASA Symposium on Data Science

  Bellevue, WA, May 29, 2019 - Jun 1, 2019 (Keynote Speaker)

• Algorithmic, Mathematical, and Statistical Foundations of Data Science and Applications (Workshop)

  Purdue University, West Layfayette, IN, Apr 11, 2019 - Apr 13, 2019 (Keynote Speaker)

• Rising Stars in Computational and Data Sciences

  Austin, TX, Apr 9, 2019 - Apr 10, 2019 (Co-organizer)

• SIAM Conference of Computational Science & Engineering (CSE19)

  Spokane, Washington, Feb 25, 2019 - Mar 1, 2019 (Organizing Committee, Panel Co-Organizer, Minisymposium Co-Organizer, Minisymposium Speaker (twice))

• ASCR Applied Mathematics PI Meeting

  Rockville, MD, Jan 29, 2019 - Jan 30, 2019 (Attendee)

• 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

• tgkolda@sandia.gov  (preferred) or tammy.kolda@gmail.com
• 925-294-4769
• Sandia National Labs, Livermore, California, USA