Humbled to announce that I’m one of the 87 new members of the National Academy of Engineering.
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 is currently an elected member of SIAM Board of Trustees. 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
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)
Humbled to announce that I’m one of the 87 new members of the National Academy of Engineering.
Just in time for the 2019-2020 interview season, I’m resurfacing posts with interview advice including asking good questions during interviews and preparing interview talks.
Happy to report that I’ve been named a 2019 ACM Fellow for innovations in algorithms for tensor decompositions, contributions to data science, and community leadership.
I am excitied to announce that the National Academies of Sciences, Engineering, and Medicine has convened an ad hoc committee of experts to prepare narratives and graphics to identify and illustrate the impact of the mathematical sciences, and I am chairing the committee.
At SIAM CSE19, I presented a talk on a DOE Lab Perspective on CSE Education which included specific recommendations for graduate education. Several persons asked for the slides, which are available here.
As a preview, the recommendations are…
(CSE = Computational Science & Engineering)
Toronto, Canada, Jul 6, 2020 - Jul 10, 2020 (Minisymposium Speaker)
Toronto, Canada, Jul 6, 2020 - Jul 9, 2020 (Minisymposium Speaker)
San Francisco, CA, Jun 20, 2020
Cincinnati, OH, May 5, 2020 - May 8, 2020 (Minisymposium Speaker)
Madison, WI, Apr 22, 2020
Notre Dame, IN, Apr 15, 2020
Austin, TX, Apr 7, 2020 - Apr 8, 2020 (Co-organizer)
Evans Hall, Room 939, Berkeley, CA, Mar 18, 2020
Seattle, WA, Feb 12, 2020 - Dec 15, 2020 (Plenary Panelist and Minisymposium Speaker)