Selected invited talks

Multifidelity linear regression for scientific machine learning from scarce data

The Fundamental Subspaces of Ensemble Kalman Inversion

Scalable engineering decision-making via multifidelity Sobol sensitivity analysis 

Learning PDE operators with neural networks: the cost-accuracy trade-off

Balanced truncation for Bayesian inference

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

Selected conference talks