Katie Keegan | Emory University

About Me

Hello!

I’m a fourth-year PhD student (wow, time flies!) in Computational Math at Emory University, where I’m supported by a DOE Computational Science Graduate Fellowship and Emory’s Women in Natural Sciences Fellowship. I am fortunate to be advised by Lars Ruthotto.

In summer 2025, I worked with NASA’s Frontier Development Lab on solar active region forecasting with uncertainty quantification.

In summer 2024, I was in California at Lawrence Berkeley National Lab working with Aydın Buluç.

In summer 2023, January 2024, and March 2025, I was in Tokyo at the High Performance AI Systems Research Team at RIKEN Center for Computational Science working with Mohamed Wahib.

I enjoy thinking about incorporating domain knowledge in AI/ML for science and engineering in a scalable, efficient, and mathematically sound way. Specifically, my research interests include constrained generative modeling, simulation-based inference, and high-dimensional data analysis.

Thank you for kindly taking the time to visit my website!

Upcoming Travel

🛩️ Machine Learning for Heliophysics Conference Madrid, Spain, September 2025

Recent Travel

🛩️ Supercomputing 2024 Atlanta, GA, November 2024

🛩️ SIAM Computational Science & Engineering 2025 Fort Worth, TX, March 2025

🛩️ Visit to RIKEN High-Performance Artificiial Intelligence Systems Research Team Tokyo, Japan, March 2025

🛩️ 17th JLESC Workshop Chicago, IL, May 2025

🛩️ Mathematical Foundations of Data Science Summer School Montreal, Canada, May 2025

🛩️ SPACERAISE AI for Aerospace Summer School L’Aquila, Italy, May 2025

🛩️ MOST Training Seminar at National Museum of Mathematics New York City, NY, July 2025

🛩️ DOE CSGF Program Review Washington, DC, July 2025

Publications

Projected Tensor-Tensor Products for Efficient Computation of Optimal Multiway Data Representations
Katherine Keegan, Elizabeth Newman
Submitted, 2024.
[PDF]
Optimal Matrix-Mimetic Tensor Algebras via Variable Projection
Elizabeth Newman, Katherine Keegan
SIAM Journal on Matrix Analysis and Applications, Volume 46, Issue 3, 2025, pp. 1764-1790.
[arXiv] [Publication]
A Tensor SVD-based Classification Algorithm Applied to fMRI Data
Katherine Keegan, Tanvi Vishwanath, Yihua Xu
SIAM Undergraduate Research Online, Volume 15, 2022, pp. 270-294.
[PDF]
Media Processing and A Modified Watermarking Scheme Based on the Singular Value Decomposition
Katherine Keegan, David Melendez, Jennifer Zheng
SIAM Undergraduate Research Online, Volume 14, 2021, pp. 446-467.
[PDF]

Other

Invited article at SIAM News: here
I am a licensed private pilot as of December 2021! Here is a cool video of the MBU campus from the sky during a night flight lesson.
When I’m not in the air or at a desk, I enjoy running, weightlifting, reading, and playing piano.