Xiu Yang joined Lehigh from Pacific Northwest National Laboratory (PNNL) where he was a scientist since 2016. His research has been centered around modern scientific computing including uncertainty quantification, multi-scale modeling, physics-informed machine learning, and data-driven scientific discovering. Xiu has been applying his methods on various research areas such as fluid dynamics, hydrology, biochemistry, soft material, climate modeling, energy storage, and power grid system. Currently, he is focusing on uncertainty quantification in quantum computing algorithms and machine learning methods for scientific computing. He received a Faculty Early Career Development Program (CAREER) Award from NSF in 2022 and Outstanding Performance Award from PNNL in 2015 and 2016. Xiu also served on the DOE applied mathematics visioning committee in 2019.

Xiu Yang
Xiu Yang
Associate Professor
Harold S. Mohler Laboratory
200 West Packer Avenue
Bethlehem, PA 18015
Room 473


Ph.D., Applied Mathematics, Brown University
M.S., Computational Mathematics, Peking University
B.S., Computational Mathematics, Peking University

Areas of Research

Uncertainty Quantification, Quantum Computing, Scientific Machine Learning, Scientific Computing