Bridging the Gap: From Computational Physics, to Physics-informed Machine Learning, to Data-driven Scientific Discovery – Jun. 2-3, 2026

Session Description

For this event, the Data Sciences Institute is bringing together experts in numerical simulation and data science to explore the intersection between, and bridge the gap separating, physics-based models grounded in first principles and data-driven models based on machine learning techniques, and will feature renown researchers who specialize in various areas of computational science and data science, with applications ranging from aerospace, to medicine, to astrophysics.