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, with an emphasis on uncertainty quantification. I couple multifidelity simulations of atmospheric flows with forward and inverse uncertainty quantification methods, drawing on both high-fidelity simulation data and field observations, to improve modeling of the atmospheric boundary layer (ABL). By bridging physics-based theory and data with statistical inference and machine learning tools, I seek to advance our fundamental understanding of the ABL and to support critical decision-making in applications such as numerical weather prediction, climate modeling, energy systems, and urban planning. If this aligns with your interests, get in touch!
Outside the lab, you may find me training for my next marathon, playing pick-up basketball, or enjoying a good book with a cup of coffee.