Multifidelity linear regression for scientific machine learning from scarce data
April 4, 2024 - Computational and Data-Enabled Science (CODES) Seminar, Emory University
The Fundamental Subspaces of Ensemble Kalman Inversion
November 4, 2023 - Workshop celebrating Christopher Beattie's 70th Birthday, Blacksburg, Virginia
December 14, 2023 - Numerical methods in CSE Seminar, Technical University of Munich, Germany
Scalable engineering decision-making via multifidelity Sobol sensitivity analysis
April 4, 2023 - MASCOT-NUM 2023, Le Croisic, France
Learning PDE operators with neural networks: the cost-accuracy trade-off
March 14, 2023 - Johns Hopkins University Department of Applied Mathematics and Statistics postdoc seminar (online)
December 9, 2022 - Remote Colloquium on Vortex-Dominated Flows (online)
Balanced truncation for Bayesian inference
September 19, 2022 - Symposium on Inverse Problems, University of Potsdam.
June 2, 2022 - Oxford Computational Mathematics and Applications Seminar (online)
December 7, 2021 - Banff Women in Inverse Problems workshop (online, recording here).
October 1, 2021 - UC San Diego Dynamics Systems and Controls Seminar (online).
Reduced operator inference for nonlinear partial differential equations (and other related titles)
April 19, 2021 - Scientific Computing and Numerics (SCAN) Seminar, Cornell University (online).
July 1, 2020 - 1st Workshop on Scientific-driven Deep Learning (online, recording at link).
June 3, 2020 - Laboratory for Applied Mathematics, Numerical Software, and Statistics (LANS) Seminar, Argonne National Laboratory (online).
Balanced truncation for Ensemble Kalman Inversion SIAM Conference on Uncertainty Quantification 2024, Trieste, Italy
A new multifidelity Sobol index estimator: Application to JW space telescope analysis, SIAM CSE 2023, Amsterdam, the Netherlands
Learning PDE operators with neural networks: the cost-accuracy trade-off, US National Congress on Theoretical and Applied Mechanics 2022, Austin, TX.
Reduced operator inference for nonlinear partial differential equations, SIAM Conference on Computational Science and Engineering (CSE) 2021 (online).