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).
- Tensor Decompositions
- Numerical Optimization
- Linear Algebra
- Randomized Algorithms
- Network Science
- Data Science and Machine Learning
- High-Performance Computing
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)