Dr. Kolda is an independent consultant and researcher under the auspices of her company MathSci.ai. Previously, she was Distinguished Member of the Technical Staff at Sandia National Labs in California, where she worked from 1999-2021. In her early career, she held the Alston S. Householder Postdoctoral Fellow in Scientific Computing at Oak Ridge National Labs, following her Ph.D. in Applied Mathematics from the University of Maryland, College Park (UMCP).
Dr. Kolda’s research is in the broad areas of mathematics of data science. Her work in tensor decompositions, numerical optimization, linear algebra, graph models and algorithms, data mining, high performance computing, and scientific software has been cited over 20,000 times. She co-developed the widely-used Tensor Toolbox for MATLAB as well as many other software packages.
Reconitions for Dr. Kolda include Fellow of the Society for Industrial and Applied Mathematics (SIAM), Fellow of the Association for Computing Machinery (ACM), and Member of the National Academy of Engineering (NAE). Currently, Dr. Kolda serves as Editor-in-Chief of the SIAM Journal on the Mathematics of Data Science (SIMODS) and as a member of the National Academies’ Board on Mathematical Sciences and Analytics (BMSA).
Information on consulting is coming soon. In the meantime, inquires can be sent direclty to me at the email listed below.
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)