Talks

Invited talks

July 2026
Priorconditioned Sparsity-Promoting Projection Methods for Deterministic and Bayesian Linear Inverse Problems
Linköping University Computational Math Group Meeting, Linköping, Sweden.
March 2026
Making the Most of Every Matvec: projection-based methods for efficient UQ in sparsity-promoting inverse problems
SIAM Conference on Uncertainty Quantification (UQ26), Minneapolis, MN.
March 2026
Inverse problems through the lens of linear algebra
Trinity College Mathematics Colloquium, Hartford, CT.
March 2025
Preconditioning techniques for large-scale sparsity-promoting inverse problems
SIAM Conference on Computational Science and Engineering (CSE25), Fort Worth, TX. Slides
December 2024
Priorconditioned generalized Krylov subspaces for sparsity-promoting inversion
Virginia Tech Applied Numerical Analysis Seminar, Blacksburg, VA.
March 2024
Generalized sparsity-promoting solvers and uncertainty quantification for Bayesian inverse problems
CMCC Foundation Webinar, Bologna, Italy. Video Slides
February 2024
Generalized sparsity-promoting solvers and samplers for hierarchical inverse problems
SIAM Conference on Uncertainty Quantification (UQ24), Trieste, Italy. Slides
March 2023
Computational strategies for Bayesian inversion with conditionally Gaussian sparsity priors
SIAM Conference on Computational Science and Engineering (CSE23), Amsterdam, Netherlands. Slides

Contributed talks

June 2026
Pseudospectra and the picture of a matrix
Dartmouth Mathematics Graduate Student Seminar, Hanover, NH.
May 2026
Multigrid-accelerated sparsity-promoting projection methods for inverse problems
27th Conference of the International Linear Algebra Society (ILAS 2026), Blacksburg, VA.
March 2026
Priorconditioned sparsity-promoting projection methods for deterministic and Bayesian linear inverse problems
SIAM Conference on Uncertainty Quantification (UQ26), Minneapolis, MN.
September 2025
The GSVD with applications to inverse problems
Dartmouth Mathematics Graduate Student Seminar, Hanover, NH. Slides
April 2025
Preconditioning techniques for large-scale sparsity-promoting inverse problems
Dartmouth Applied & Computational Mathematics Seminar, Hanover, NH. Slides
April 2025
Preconditioning techniques for large-scale sparsity-promoting inverse problems
East Coast Optimization Meeting, Arlington, VA. Slides
March 2025
Preconditioning techniques for large-scale sparsity-promoting inverse problems
50th Annual New York State Regional Graduate Mathematics Conference, Syracuse, NY.
January 2025
Cauchy interlacing and generalized Ostrowski theorems
Dartmouth Mathematics Graduate Student Seminar, Hanover, NH.
October 2024
Priorconditioned generalized Krylov subspaces for sparsity-promoting inversion
Dartmouth Mathematics Graduate Student Seminar, Hanover, NH.
May 2024
The conjugate gradient method: a top 10 algorithm of the 20th century
Dartmouth Mathematics Graduate Student Seminar, Hanover, NH.
January 2024
A brief introduction to matrix-free and randomized matrix computations
Dartmouth Mathematics Graduate Student Seminar, Hanover, NH.
September 2023
Oblique projections and low-rank structure in inverse problems
Dartmouth Mathematics Graduate Student Seminar, Hanover, NH. Slides
January 2023
Hierarchical Bayesian inverse problems
Dartmouth Mathematics Graduate Student Seminar, Hanover, NH. Slides
November 2022
Generalized hybrid solvers for sparsity-promoting Bayesian inverse problems
Dartmouth Advancement Examination, Hanover, NH. Slides
November 2022
Generalized hybrid solvers for large-scale edge-preserving inversion
Dartmouth Sea Ice Modeling and Data Assimilation MURI Annual Meeting, virtual. Video Slides
August 2022
Surrogate modeling for high explosives diameter effect calculations
LANL Theoretical Division Lightning Talk Symposium, Los Alamos, NM.
April 2022
Multiplicative denoising with uncertainty quantification for synthetic aperture radar imaging
SIAM Conference on Uncertainty Quantification (UQ22), Atlanta, GA. Slides
October 2021
Towards UQ for SAR despeckling
Dartmouth Sea Ice Modeling and Data Assimilation MURI Annual Meeting, virtual. Video Slides
August 2021
Uncertainty quantification in high explosives equations of state
LANL Computational Physics Summer Workshop Final Presentations, virtual. Slides
March 2021
A Bayesian Gaussian process model for COVID-19
SMU Spring Research Days, virtual.
October 2020
Bayesian perspectives on COVID-19 in Texas
SMU Fall 2020 Summer Research Symposium, virtual. Video
August 2020
Uncertainty quantification of ice fog events
SMU Grand Challenges Scholars Research Symposium, Dallas, TX.
August 2020
Uncertainty quantification of ice fog events
Dartmouth ICE REU, virtual.

Minisymposium organization

May 2026
Inverse Problems and Uncertainty Quantification through the Lens of Numerical Linear Algebra
27th Conference of the International Linear Algebra Society (ILAS 2026), Blacksburg, VA. Co-organized with Toluwani Okunola and Mirjeta Pasha.