My research focuses on uncertainty quantification, nonlinear dynamics, and scientific machine learning.
Our group develops computational methods for uncertainty quantification, statistical inference, and scientific machine learning in complex physical systems.
Department of Mechanical and Manufacturing Engineering Schulich School of Engineering, University of Calgary
01
Research
01.1
Uncertainty and extreme events
Rare and intermittent behavior in nonlinear dynamical systems, with an emphasis on mechanisms, statistics, prediction, and mitigation.
01.2
Scientific machine learning
Data-driven models for dynamical systems that retain physical structure, uncertainty, and interpretable behavior.
01.3
Inference and experimental design
Bayesian computation, data assimilation, and adaptive sampling for making decisions in complex engineering systems.
