Hello!

I am a 5th year PhD student in Computational Mathematics at Emory University (<codes>) advised by Professor Julianne Chung.

My research interests are computational/Bayesian inverse problems, uncertainty quantification, and numerical linear algebra.

See my CV here.

A Majorization-Minimization with Monte Carlo Approach for Hyperparameter Estimation. Elle Buser, Julianne Chung, Hugo Diaz, and Arvind K. Saibaba. Submitted, 2026. arxiv
A Joint Variational Framework for Multimodal X-ray Ptychography and Fluorescence Reconstruction. Eric Zou, Elle Buser, Zichao Wendy Di, and Yuanzhe Xi. Submitted, 2025. arxiv
Efficient sampling approaches based on generalized Golub-Kahan methods for large-scale hierarchical Bayesian inverse problems. Elle Buser and Julianne Chung. In review, 2025. arxiv
Comparison of Atlas-Based and Neural-Network-Based Semantic Segmentation for DENSE MRI Images. Elle Buser, Emma Hart, and Ben Huenemann. SIAM Undergraduate Research Online, 2022. PDF, arxiv
The Wind beneath My Wings. I. Spectral Types and Multiplicity of the Central Stars Supporting Stellar Bow Shock Nebulae. William T Chick et al. The Astrophysical Journal Supplement Series, 2020. Website

(Invited) Natural Gradient Descent for Hyperparameter Estimation in Bayesian Inverse Problems, IMS/ASA Spring Research Conference, Clemson, SC.
(Invited) `Natural Gradient Descent for Hyperparameter Estimation in Bayesian Inverse Problems, ILAS, Blacksburg, VA.
(Invited) Computational Methods For Hyperparameter Estimation with Applications to Separable Nonlinear Inverse Problems, SIAM UQ, Minneapolis, MN.
Generalized Golub-Kahan Methods for Large-Scale Hierarchical Bayesian Inverse Problems, SIAM AN25, Montreal, Canada
Krylov subspace methods for large-scale hierarchical Bayesian inverse problems, SIAM IS24, Atlanta, GA. Slides
Hybrid projection methods for MRI reconstruction and uncertainty quantification, DISC graduate student seminar, Emory University, Atlanta, GA.
Sampling methods for reduced order models, DISC graduate student seminar, Emory University.
Comparison of Atlas-Based and Neural-Network-Based Semantic Segmentation for DENSE MRI Images, 2022 Georgia Scientific Computing Symposium lightening talk, Georgia Institute of Technology, Atlanta, GA.

2024 Gene Golub SIAM Summer School on Iterative and Randomized Methods for Large-Scale Inverse Problems, Quito, Ecuador
SIAM Conference on Imaging Sciences (IS24), 2024, Atlanta, GA.
18th Copper Mountain Conference On Iterative Methods, 2024, Copper Mountain, CO.
AMS Southeastern Sectional Meeting, 2023, Georgia Institute of Technology, Atlanta, GA.
SIAM Conference on Mathematics of Data Science (MDS22), 2022, online.
Georgia Scientific Computing Symposium, 2022, 2023, 2024.