Xihaier Luo

Xihaier Luo works at the intersection of machine learning and physical sciences, developing neural network methods to compress, represent, and forecast complex scientific data such as climate fields, ocean dynamics, and particle physics detector output. Much of the work involves uncertainty quantification, spatiotemporal modeling, and building large-scale 'foundation models' tailored for scientific domains like nuclear and particle physics. This research is intended to help scientists analyze and simulate large, complex datasets more efficiently and reliably.

Publication output has grown substantially over the last decade, rising from occasional papers before 2021 to a sustained high rate of 10+ publications per year since 2024.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026