Constrained Gaussian processes
How can prior physical knowledge be incorporated into data-driven Gaussian process models?
Portfolio
Physics-informed neural networks
How can physics-informed neural networks be used in a probabilistic setting? 
Physics-informed generative models
We are developing physics-informed generative models tailored for scientific applications.
Magnetic localization
Encode physical prior knowledge in Gaussian processes