Research areas include 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, and Knowledge Representation and Machine Learning.
Research Experience
She is a computational science researcher in the Applied Mathematics and Computational Research Division of the Computing Sciences Area at Lawrence Berkeley National Laboratory.
Education
PhD, Mechanical Engineering, University of Washington, Seattle, United States; MS, Applied Mathematics, University of Washington, Seattle, United States. Note: Advisor information is not provided.
Background
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. Her work focuses on AI-based modeling that couples first-principles with data-driven approaches to understand, estimate, and control high-dimensional physical systems.