# Talks

Operator Learning: Algorithms, Analysis and Applications

(Colloquium, Northwestern, May 2024)

The Ensemble Kalman Filter

(ICIAM, Tokyo, August 2023)

Gradient Flows In The Space Of Probability Measures

(FOCM, Paris, June 2023)

Supervised Learning In Function Space

(SIAM Mathematics of Data Science, San Diego, September 2022)

Supervised Learning of Operators

(Data-Driven Science and Engineering Seminar, University of Washington, May 2022)

Learning Homogenized PDEs in Continuum Mechanics

(DataSig Seminar Series, January 2022)

Learning Linear Operators

(Isaac Newton Institute, Cambridge UK, September 2021)

Supervised Learning In Banach Space

(One World Probability Seminar, May 2020)

The Legacy of Rudolph Kalman

(Isaac Newton Institute, Cambridge UK, April 2018)

Filtering Partially Observed Chaotic Deterministic Dynamical Systems

(SIAM Conference On Dynamical Systems, Snowbird Utah, May 2015)

Uncertainty Quantification in Bayesian Inversion

(SIAM Conference On UQ, Savannah Georgia, April 2014)