YoungIn (Ethan) Shin

YoungIn Ethan Shin seeks to advance fundamental understanding of the atmospheric boundary layer, to support critical decision making in applications such as numerical weather forecasting, climate modeling, wind‐energy systems, and urban planning. His research lies at the intersection of environmental flow physics and computational science, with a current emphasis on uncertainty quantification. At MIT,  he couples multifidelity simulations of atmospheric boundary layer flows with forward and inverse uncertainty quantification methods, to improve parameterizations of atmospheric turbulence. His doctoral advisor is Professor Michael Howland.