Talks & Presentations

2025

“A goal-oriented loss for learning transition times with machine learning potentials.”
ICMS Workshop on Computational Materials Science and Mathematics at the Particle and Atomistic Scales (CoMPASs). November 2025. Edinburgh, UK.

“Goal-oriented learning of stochastic dynamical systems using error bounds on path-space observables.”
SIAM Conference on Applications of Dynamical Systems (SIAM DS). May 2025. Denver, Colorado.

“Data curation for machine learning interatomic potentials by determinantal point processes.”
ICLR Workshop on AI for Accelerated Materials Design. April 2026. Singapore.

2024

“Path space error bounds for the statistical learning of SDEs.”
University of Potsdam, Institute for Mathematics. August 2024. Potsdam, Germany.

“Cairn.jl: Enhanced Sampling for Active Learning.”
JuliaCon. July 2024. Eindhoven, Netherlands.

“Active learning of energy-based models by stochastic SVGD.”
SIAM Conference on Uncertainty Quantification (SIAM UQ). March 2024. Trieste, Italy.

2023

“An importance sampling approach to gradient-based dimension reduction in stochastic systems.”
International Conference on Uncertainty Quantification in Computational Science and Engineering (UNCECOMP). June 2023. Athens, Greece.

2022

“Gaussian process latent force models for virtual sensing of an offshore wind turbine.”
European Workshop on Structural Health Monitoring (EWSHM). July 2022. Palermo, Italy.

“Bayesian modeling and active learning for molecular dynamics: fitting machine learning interatomic potentials to data.”
CECAM Workshop on Error Control in First-Principles Modelling. June 2022. Lausanne, Switzerland.