In many papers on tensor decomposition since 2014, the simultaneous diagonalization algorithm is incorrectly referenced as Jennrich’s algorithm. This method should not be attributed to Jennrich but instead cited as Leurgans, Ross, and Abel (1993).
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 work has been cited over 20,000 times. 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.
Tamara Kolda is an independent mathematical consultant under the auspices of her company MathSci.ai based in California. She is also a Distinguished Visiting Professor in the Department of Industrial Engineering & Management Science at Northwestern University in Evanston, Illinois. From 1999-2021, she was a researcher at Sandia National Laboratories in Livermore, California. She specializes in mathematical algorithms and computation methods for tensor decompositions, tensor eigenvalues, graph algorithms, randomized algorithms, machine learning, network science, numerical optimization, and distributed and parallel computing.
She is currently serving as the founding editor-in-chief for the SIAM Journal on Mathematics of Data Science (SIMODS), on the Senior Program Committee for the Conference on Learning Theory (COLT’22), and as the Chair of the Illustrating the Impact of the Mathematical Sciences study for the National Academies. She is also a member of the National Academies’ Board on Mathematical Sciences and Analytics (BMSA), the board of advisors for the Institute for Mathematical and Statistical Innovation (IMSI), the SIAM Ethics Committee, the SIAM Block Lecture Selection Committee, the ACM-IEEE CS George Michael Memorial HPC Fellowships Committee, and the Schmidt Postdoctoral Fellowship Selection Committee.
She is a member of the National Academy of Engineering (NAE), Fellow of the Society for Industrial and Applied Mathematics (SIAM), and Fellow of the Association for Computing Machinery (ACM). Other recognitions include two best paper prizes from the IEEE International Conference on Data Mining (ICDM), a best paper prize from the SIAM International Conference on Data Mining (SDM), an R&D100 Award from R&D Magazine, and a Presidential Early Career Award for Scientists and Engineers (PECASE).
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)
In many papers on tensor decomposition since 2014, the simultaneous diagonalization algorithm is incorrectly referenced as Jennrich’s algorithm. This method should not be attributed to Jennrich but instead cited as Leurgans, Ross, and Abel (1993).
AMR is a newly-formed math organization whose officers hold views antithetical to diversity and inclusion. For the sake of the field of mathematics, please do not encourage this organization in any way.
I will try to now and then post some pictures that remind me of great times in my career. This is a picture that I featured in my office for more than a decade!
I have joined the Board of Advisors for the Institute for Mathematical and Statistical Innovation (IMSI).
After more than 20 fantastic years at Sandia, I am calling it quits this coming summer. I am forever indebted to my wonderful Sandia colleagues, past and present, who made my years at Sandia incredibly rewarding. I will be an independent researcher and consultant under the auspices of my business called MathSci.ai.
London, UK, Jul 2, 2022 - Jul 5, 2022 (Senior Program Committee)
Northwestern University, Evanston, IL, May 19, 2022 (Speaker)
Evanston, IL, May 18, 2022 (Speaker)
Chicago, IL, May 13, 2022 (Speaker)
Evanston, IL, May 2, 2022 - May 20, 2022 (Visiting Professor)
Online, Apr 18, 2022 (Speaker)
Golden, CO, Apr 15, 2022 (Speaker)
Boulder, CO, Apr 14, 2022 (Speaker)
Stanford, CA, Mar 7, 2022 (Invited Speaker and Career Panel)