معرفی
Dr. Yi Zhang is an Assistant Professor at the Courant Institute of Mathematical Sciences, New York University, affiliated with the Center for Atmosphere Ocean Science. He holds a B.S. in Physics from Peking University (2016) and a Ph.D. in Atmospheric and Oceanic Sciences from Princeton University (2021). His research focuses on climate dynamics, atmospheric thermodynamics, and radiative transfer, with an emphasis on reducing complex climate phenomena to foundational physical laws. He previously served as a Miller Postdoctoral Fellow at UC Berkeley (2021–2023).
Key research includes predicting tropical extreme wet-bulb temperatures using El Niño indices, with notable success in 2024 predictions. His work bridges climate modeling and practical applications, such as forecasting heatwave impacts and advancing climate adaptation strategies. He develops physics-based statistical models to predict climate extremes and explores the interplay between atmospheric dynamics and thermodynamics.
Recent articles highlight advancements in machine learning for molecular interactions, drug repurposing, and protein-ligand docking. These span computational chemistry, drug discovery, and bioinformatics, reflecting interdisciplinary collaboration. No scientific awards are explicitly mentioned, though his work has been highlighted in news outlets like Forecast.
Dr. Zhang’s advising and grants focus on climate science and theoretical frameworks, with notable collaborations like his postdoc mentorship under William Boos. He maintains an active lab within the Courant Institute, contributing to both academic and applied climate research.
