Workshop on Learning and Computational Science

Overview

Jointly organized with the Centre for Data Science and Machine Learning at the National University of Singapore (NUS), the School of Data Science at the University of North Carolina at Chapel Hill (UNC), and the Department of Mathematics at Duke University, this workshop brings together researchers working at the intersection of scientific computing, machine learning, inverse problems, and data-driven modelling, with broad applications in imaging, physical simulation, and large-scale data analysis. It features invited talks and breakout sessions highlighting recent advances in learning-based algorithms, optimization, and theoretical foundations that enable extracting meaningful information from complex, high-dimensional, and noisy data, with the aim of strengthening collaboration among the three institutions and fostering interdisciplinary exchange and promoting long-term partnerships.