Presentations and Workshops

Presentations

• "Data-Driven Numerical Algorithms: Integrating Stochasticity and Learning into Scalable Scientific Computing" at Georgia Tech Applied and Computational Math Seminar, Nov 10, 2025.
• "Bias-Reduced Preconditioned Gaussian Processes" at the Penn State University Department of Mathematics Computational and Applied Mathematics Colloquium, Apr 21, 2025.
• "HiGP: Data-Driven Hierarchical Matrix-Based Gaussian Process" at the SIAM Southeastern Atlantic Section Conference, Mar 21-23, 2025.
• "Multiscale Neural Networks for Approximating Green's Functions" at the Emory Computational and Data Enabled Science Seminar, Dec 5, 2024.
• "Efficient Preconditioned Unbiased Estimators in Gaussian Processes" at the SIAM Conference on Mathematics of Data Science, Oct 21-25, 2024.
• "Efficient Preconditioned Unbiased Estimators in Gaussian Processes" at the International Conference on Preconditioning Techniques for Scientific and Industrial Applications, Jun 10-12, 2024.
• "HPyTorch: Data-driven Hierarchical Matrix-based Gaussian Process" at the Fast Direct Solver Conference, Nov 4-5, 2023.
• "GeMSLR: A Multilevel Low-Rank Preconditioning and Solution Package" at the SIAM Conference on Applied Linear Algebra (Virtual), May 17-21, 2021.
• "GeMSLR: A Multilevel Low-Rank Preconditioning and Solution Package" at the International Conference on Preconditioning Techniques for Scientific and Industrial Applications, Jul 1-3, 2019.
• "Correction of High Order of Time Accuracy for Modified Method of Characteristics" at the 10th International Conference on Computational Physics, Jan 16-20, 2017.

Posters

• "Multiscale Neural Networks for Approximating Green's Functions" at the SIAM Conference on Computational Science and Engineering, Mar 3-7, 2025.
• "GeMSLR: A Multilevel Low-Rank Preconditioning and Solution Package" at the SIAM Conference on Parallel Processing for Scientific Computing, Feb 12-15, 2020.