Talks
Selected invited talks
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).
Selected conference talks
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).