Digital Twins Workshop: Mathematical and Statistical Foundations - Day 2

Attend a comprehensive 4-hour workshop on digital twins, featuring presentations from world-leading researchers addressing foundational aspects and key application areas. Explore topics such as higher-order stochastic integration, neural surrogates, one-shot learning of surrogates in PDE-constrained optimization, inverse optimal transport, and comparison of Markov Chains Monte Carlo. Gain insights from speakers representing prestigious institutions like CREST, University of Texas at Austin, Freie Universität Berlin, University of Warwick, and University of Bristol. Benefit from this satellite event of the Isaac Newton Institute's programme on "mathematical and statistical foundation of future data-driven engineering," supported by The Alan Turing Institute.