Career

As my tenure as founding Editor-in-Chief comes to a close (SIAM wisely has term limits), I want to take a moment to reflect on the launch of the SIAM Journal on Mathematics of Data Science (SIMODS). I am grateful to the authors, reviewers, editorial board members, and SIAM staff who have contributed to the success of the journal. I am proud of the journal’s achievements and excited to turn over the reins to the new Editor-in-Chief, Misha Belkin.

I am happy to announce that I am now part of the editorial board of Information and Inference: A Journal of the IMA. This journal publishes high quality articles that advance the mathematical understanding of information and data analysis. The articles cover a wide range of topics, such as: information theory, statistical inference, network analysis, numerical analysis, learning theory, applied and computational harmonic analysis, probability, combinatorics, signal processing, and high-dimensional geometry.

I’ve moved my social network activity to Mathstadon.

An updated FAQ on my academic and consulting work.

Panel Discussion at MDS22 Prepares Students and Early-Career Researchers for the Workforce.

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.

LIVERMORE, Calif. - Tamara Kolda of Sandia National Laboratories has spent a career finding mathematical patterns in data sets ranging from mouse neurons to crime statistics, so when she talks about how ‘magical’ the results seem, even experts in other fields take notice. olda was one of 87 members elected to the National Academy of Engineering this year - one of a handful of mathematicians ever granted membership.

Humbled to announce that I’m one of the 87 new members of the National Academy of Engineering.

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.