This essay was featured as a guest post on Silicon Reckoner. Many thanks to Michael Harris for allowing me the opportunity to share this with his readers.
In the realm of AI, how can you differentiate the hype from the technologies that can truly benefit your organization? MathSci.ai provides unbiased, objective advice to clients in the following areas:
With a distinguished career, including over 20 years at Sandia National Laboratories and over 5 years in consulting, Tamara Kolda has worked with prominent nonprofits, government agencies, contractors, and technology companies. Based in the San Francisco Bay Area, she offers flexible, hourly-based assistance online or in person. Inquires about consulting can be sent to tammy.kolda@mathsci.ai.
Tamara Kolda, Ph.D., is an independent mathematical consultant under the auspices of her company MathSci.ai based in California and founded in 2021. From 1999-2021, she was a Distinguished Member of the Technical Staff at Sandia National Laboratories in Livermore, California. She is a member of the U.S. National Academy of Engineering (NAE), Fellow of the Society for Industrial and Applied Mathematics (SIAM), and Fellow of the Association for Computing Machinery (ACM). Her research is in the broad domain of mathematical data science. She has authored 75+ journal articles, conference proceedings papers, and book chapters. She is the author of two books: Tensor Decompositions for Data Science and Unlocking LaTeX Graphics: A Concise Guide to TikZ/PGF and PGFPLOTS. She is the SIAM Vice President for Publications, co-chair of the 2027 SIAM Conference on Linear Algebra (LA27), and Program Chair of the SIAM Activity Group on Equity, Diversity, and Inclusion (SIAG-EDI). She also sits on the board of the First Proof Foundation, which is dedicated to understanding the capabilities of AI systems on problems that come up in math research.
This essay was featured as a guest post on Silicon Reckoner. Many thanks to Michael Harris for allowing me the opportunity to share this with his readers.
Excited to share that the First Proof Foundation was recently featured in a New York Times article by Siobhan Roberts about the future of math research in the age of AI. The article includes an interview with me and my colleagues Mohammed Abouzaid, Martin Hairer, and Lauren Williams. Check it out!
February 1, 2026 Update: The next SIAM Linear Algebra conference is tentatively scheduled to be held in Long Beach, CA, on May 24-28, 2027. Stay tuned for more details as they become available.
January 25, 2025: I will be co-chairing the 2027 SIAM Conference on Linear Algebra along with Mark Embree (Virginia Tech). The LA24 conference in Paris will be an impossible act to follow, but stay tuned.
We are happy to share the final draft of our forthcoming textbook which will be available in print in June 2025. Click for more…
Salt Lake City, UT, Nov 16, 2026 - Nov 20, 2026 (Organizing Committee Member)
Cleveland, OH, Jul 6, 2026 - Jul 10, 2026 (Attendee)
Edinburgh, UK, Jun 29, 2026 - Jul 3, 2026 (Plenary Speaker and Minisymposium Organizer)
Waterloo, ON, Canada, Apr 3, 2026 (Colloquium Speaker)
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA, Oct 27, 2025 - Oct 28, 2025 (Technical Program Committee and Panelist)
Provo, UT, Sep 17, 2025 (Colloquium Speaker)
IPAM, Los Angeles, Aug 11, 2025 - Aug 15, 2025 (Project Lead)
Montreal, Canada, Jul 28, 2025 - Aug 1, 2025 (Panelist, Minisymposium Speaker, and Minisymposium Co-organizer)
Denver, CO, May 11, 2025 - May 15, 2025 (Plenary Speaker)