Hi, I’m Ethan! Thanks for visiting my website.

I am a Ph.D. candidate in the Department of Civil and Environmental Engineering (CEE) at the Massachusetts Institute of Technology (MIT), working with Professor Michael F. Howland in the Howland Lab. My research lies at the intersection of environmental flow physics and computational science. I focus on atmospheric boundary layer (ABL) flows, turbulence, and uncertainty quantification methods for the development of more accurate parameterizations of turbulence in the ABL. Specifically, I use Reynolds-averaged Navier-Stokes (RANS) simulations and large-eddy simulations (LES) to study atmospheric turbulence, and I leverage Bayesian inference and machine learning tools to facilitate a data-informed learning of uncertainty in unresolved turbulent processes. By bridging physics‐based theory with observational data, I seek to advance fundamental understanding of the atmospheric boundary layer, to support critical decision making in applications such as weather forecasting, air‐quality prediction, wind‐energy systems, and urban planning.

When I’m not in the lab, you can find me playing basketball at the Zesiger Center, running along the Charles River, or reading my Kindle in a cafe filled with bibliosmia.