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).
Recent Headshot: 4MB
- Tensor Decompositions
- Numerical Optimization
- Network Science
- Data Mining
- Parallel Computing
- Scientific Software
Education and Training
Alton S. Householder Postdoc in Scientific Computing, 1997-99
Oak Ridge National Laboratory
PhD in Applied Mathematics, 1997
University of Maryland, College Park (UMCP)
BS in Applied Mathematics, 1992
University of Maryland, Baltimore County (UMBC)