Fellow Spotlight

Peter Y. Lu is an Eric and Wendy Schmidt AI in Science Fellow at the University of Chicago working at the intersection of physics and machine learning. His research interests include physics-informed machine learning and interpretable representational learning with applications in nonlinear dynamics, condensed matter physics, photonics, fluid dynamics, biophysics, and other areas. Peter Lu aims to develop new computational methods for modeling and understanding physical systems with an emphasis on incorporating physics-informed priors and identifying relevant and interpretable latent representations. In this spotlight, Peter Y. Lu shares his experience as an Schmidt AI in Science Fellow.