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Sep 30, 2026 Gave a talk on In-Span Learning: adapting reduced-order models using their own predictions (virtually) at the Applied Mathematics and Machine Learning seminar series at Texas Tech University.
Jul 29, 2026 Gave a talk on the use of neural operators in science at the AI for Scientists and Engineers Summer Academy 2026 at the University of Michigan.
Jul 15, 2026 Presented our work on In-Span Learning at the SIAM Annual Meeting (AN26) in Cleveland, OH.
Jul 03, 2026 Our preprint, In-context learning from self-generated trajectories for adaptive model reduction, is now available on arXiv.
Jun 02, 2026 Our paper on adaptive non-intrusive reduced-order models is now published in Structural and Multidisciplinary Optimization.
May 27, 2026 Our preprint on history-aware adaptive reduced-order models via incremental SVD is now available on arXiv.
Jan 08, 2026 Presented our work on adaptive non-intrusive reduced-order models for transient flow predictions at AIAA SciTech 2026 in Orlando, FL.
Nov 17, 2025 Our preprint on attention-enhanced autoencoders for weather prediction is now available on arXiv.
Jul 22, 2025 Presented our work on Adaptive NiTROM at USNCCM18.
Sep 09, 2024 Presented our work on reduced-dimensional manifolds for weather predictions at MORe2024.
May 17, 2024 Successfully passed my PhD preliminary exam!
Aug 28, 2023 Officially started my PhD at the University of Michigan!