Selected invited talks
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)
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).
October 30, 2019 - Boeing Applied Math Seminar, The Boeing Company (online).
September 23, 2019 - Applied Math and Computation Seminar, University of Massachusetts - Amherst.
March 14, 2019 - MIT SIAM Student Chapter Seminar, MIT.
May 21 & 23, 2019 - Bavarian Graduate School of Computational Engineering (BGCE) Student Paper Prize Seminar, Friedrich-Alexander University and Technical University of Munich.
February 16, 2018 - Aerospace Computational Design Laboratory Seminar, MIT.
A certified reduced basis approach to PDE-constrained optimization
September 25, 2015 - Aerospace Computational Design Laboratory Seminar, MIT.
Selected conference talks
Learning PDE operators with neural networks: the cost-accuracy trade-off, US National Congress on Theoretical and Applied Mechanics 2022, Austin, TX.
Balanced truncation for Bayesian inference, SIAM Conference on Uncertainty Quantification 2022, Atlanta, GA.
Reduced operator inference for nonlinear partial differential equations, SIAM Conference on Computational Science and Engineering (CSE) 2021 (online).
Transform & Learn: a data-driven approach to nonlinear model reduction, AIAA Aviation Forum 2019, Dallas, TX.
A certified reduced basis approach to PDE-constrained optimization, European Conference on Numerical Mathematics and Advanced Applications (ENUMATH) 2017, Voss, Norway.
Multifidelity global sensitivity analysis, SIAM CSE 2019, Atlanta, GA.