About MathSci.ai

MathSci.ai is the consulting company of Tammy Kolda and is based in Dublin, California. Dr. Kolda holds a Ph.D. and has over two decades of scientific research experience in mathematical and computational data science, with deep expertise in tensor decompositions for data analysis. She has published extensively, given keynote and plenary lectures at various international conferences, and worked on practical problems in application domains from science, medicine, and business. Her consulting has different flavors, including strategic advice on machine learning research and development that is tailored to the customer’s specific data domain, in-depth technical consulting, development of specialized training courses on tensor decompositions (textbook forthcoming), evaluation of candidates for academic appointments, etc. Inquires about consulting can be sent to the email listed below.

Since 2021, Dr. Kolda consults as her main occupation. She is also a Distinguished Visiting Professor in the Department of Industrial Engineering & Management Science at Northwestern University in Evanston, Illinois. Her current professional service includes serving as the 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). From 1999-2021, she was a researcher at Sandia National Laboratories in Livermore, California.

In recognition of her work, she has been elected to the National Academy of Engineering (NAE) and named Fellow of both the Society for Industrial and Applied Mathematics (SIAM) and the Association for Computing Machinery (ACM). Other recognitions include two best paper prizes from the IEEE Interational Conference on Data Mining (ICDM), a best paper prize from the SIAM Interational Conference on Data Mining (SDM), an R&D100 Award from R&D Magazine, and a Presidential Early Career Award for Scientists and Engineers (PECASE).

• CV (PDF)
• Recent Headshot (4MB)

• Conference on Learning Theory (COLT2021)

  Boulder, CO, Jul 7, 2021 - Jul 10, 2021 (Senior Program Committee)

• MSRI Summer School: Mathematics of Big Data: Sketching and (Multi-) Linear Algebra

  MSRI, Berkeley, CA, Jun 21, 2021 - Jul 2, 2021 (Lecturer)

• SIAM Conference on Applied Linear Algebra (LA21)

  New Orleans, LA, May 17, 2021 - May 21, 2021 (Minisymposium Speaker)

• Randomized Algorithms for Scientific Computing (RASC)

  Online, Dec 2, 2020 - Dec 3, 2020 (Co-Chair)

• Rising Stars in Computational and Data Sciences

  Online, Oct 13, 2020 (Co-organizer)

• Sayas Numerics Seminar: Online Seminar on Computational Mathematics

  Online, Oct 6, 2020 (Speaker)

• National Academy of Engineering (NAE) Introduction to Class of 2020

  Online, Oct 4, 2020 (Inductee)

• One World Mathematics of INformation, Data, and Signals (OW-MINDS) Seminar

  Online, Jul 23, 2020 (Speaker)

• SIAM Imaging Sciences (IS20)

  Online, Jul 15, 2020 (Minisymposium Speaker)

• 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

• tammy.kolda@mathsci.ai  (preferred) or tammy.kolda@gmail.com
• MathSci.ai, Dublin, California, USA