Hello!
I’m a third-year PhD student 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 2024, I was in California at Lawrence Berkeley National Lab working with Aydın Buluç.
In summer 2023 and January 2024, I was in Tokyo at the High Performance AI Systems Research Team at RIKEN Center for Computational Science working with Mohamed Wahib.
I’m interested in simulation-based inference, generative modeling, and uncertainty quantification.
Thank you for visiting my website!
🛩️ Supercomputing 2024 Atlanta, GA, November 2024
🛩️ SIAM Computational Science & Engineering 2025 Fort Worth, TX, March 2025
Simulation-Based Inference with Uncertainty Quantification using Generative Models in Quantum Chromodynamics
Katherine Keegan, Emil Vatai, Aleksandr Drozd, Pi-Yueh Chuang, Xingfu Wu, Nobuo Sato, Johann Rudi, Mohamed Wahib.
Submitted to ICLR, 2024.
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
Submitted, 2024.
[PDF]
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]
Powered by Jekyll and Minimal Light theme.