Tamara G. Kolda

Tamara L. Gibson Kolda is an American applied mathematician and Distinguished Member of Technical Staff at Sandia National Laboratories. She is noted for her contributions in computational science, multilinear algebra, data mining, graph algorithms, mathematical optimization, parallel computing, and software engineering.[2][3] She is currently a member of the SIAM Board of Trustees and serves as associate editor for both the SIAM Journal on Scientific Computing and the SIAM Journal on Matrix Analysis and Applications.[4]

Tammy Kolda
Born
Tamara L. Gibson Kolda
Alma materUniversity of Maryland Baltimore County
University of Maryland College Park
Awards
Scientific career
FieldsApplied mathematics
Computational science
InstitutionsOak Ridge National Laboratory
Sandia National Laboratories
ThesisLimited-Memory Matrix Methods With Applications (1997)
Doctoral advisorDianne P. O'Leary

Education

Kolda received her bachelor's degree in mathematics in 1992 from the University of Maryland Baltimore County and her PhD in applied mathematics from the University of Maryland College Park in 1997.[5]

Career and research

Kolda was a Householder Postdoctoral Fellow at Oak Ridge National Laboratory from 1997 to 1999 before joining Sandia National Laboratories.

Awards and honors

Kolda received a Presidential Early Career Award for Scientists and Engineers in 2003, best paper prizes at the 2008 IEEE International Conference on Data Mining and the 2013 SIAM International Conference on Data Mining, and has been a distinguished member of the Association for Computing Machinery since 2011.[2][6] She was elected a Fellow of the Society for Industrial and Applied Mathematics in 2015.[7] She was elected a Fellow of the Association for Computing Machinery in 2019 for "innovations in algorithms for tensor decompositions, contributions to data science, and community leadership."[1]

References
  1. "Tamara G Kolda". awards.acm.org.
  2. Camacho-Lopez, Tara (23 June 2015). "Sandian Named Fellow of the Society for Industrial and Applied Mathematics". Sandia Energy.
  3. "SC16 Invited Talk Spotlight: Dr. Tamara G. Kolda Presents "Parallel Multiway Methods for Compression of Massive Data and Other Applications"". SuperComputing16. 29 September 2016. Retrieved 15 October 2017.
  4. "Q&A: Tamara Kolda on SIAM Journal Macro Update". SIAM News. 21 March 2016.
  5. "Tamara G. Kolda - CV" (PDF).
  6. "Tamara G Kolda". awards.acm.org.
  7. "SIAM Fellows Class of 2015". fellows.siam.org.


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