Zhe Bai is a computational science researcher in the Applied Mathematics and Computational Research Division of the Computing Sciences Area at Lawrence Berkeley National Laboratory. Her research interests lie in the area of data-driven modeling and model order reduction, including dynamic mode decomposition, scientific machine learning and sparse algorithms for large-scale computation and simulation. Cultivated interdisciplinary research and collaborations spanning the fields of computational science and engineering, her work focuses on AI-based modeling that couples first-principles with data-driven approaches to understand, estimate and control high-dimensional physical systems.

Area of Interest

• Plasma Physics; Fusion Plasmas; Electrical Discharges
• Atomic, Molecular, Nuclear, Particle and Plasma Physics
• Energy Generation, Conversion and Storage Engineering
• Geophysical Fluid Dynamics
• Artificial Intelligence and Image Processing
• Computer Vision
• Electrical and Electronic Engineering
• Applied Mathematics
• Knowledge Representation and Machine Learning

Education

• PhD| University of Washington, Seattle, United States
• MS| University of Washington, Seattle, United States