Contributor

Dr. Riccardo Balin is a Postdoctoral Appointee under the Aurora Early Science Program at the Argonne National Laboratory. His work focuses on coupling large scale high-fidelity simulations of turbulent flows with machine learning to perform in-situ training of, as well as inference with, data-driven turbulence closure models. Riccardo obtained a BS/MS degree in Aerospace Engineering in 2016 from the University of Colorado Boulder, which was followed by a Ph.D. in Computational Fluid Dynamics and Turbulence Modeling awarded in 2020 from the same institution.