Talks

Selected invited talks

Balanced truncation for Bayesian Inference

Reduced operator inference for nonlinear partial differential equations (and other related titles)

  • 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.