Yixin "Berry" Wen

Yixin “Berry” Wen is an Assistant Professor in the School of Marine and Atmospheric Sciences and the Institute for Advanced Computational Science at Stony Brook University. Her research lies at the intersection of Earth observations, weather and water, and artificial intelligence. She develops AI and machine learning methods to better observe, understand, and predict high-impact weather and hydrologic processes, with particular interests in precipitation, remote sensing, multiscale modeling, and extreme events.

Her group works with satellite, airborne, radar, reanalysis, and in-situ observations and develops methods including generative AI, diffusion models, foundation models, and AI agents for Earth science applications. A major focus of her research is connecting fine-scale physical processes observed by advanced remote sensing systems with broader-scale prediction and decision-making frameworks.

Her recent research awards include an NSF CAREER Award focused on high-resolution remote sensing and interpretable AI for understanding convective storms, two NSF Collaborations in Artificial Intelligence and Geosciences (CAIG) Award focused on geoscience foundation models for extreme events, and multiple NASA-funded projects spanning precipitation science, satellite remote sensing, hydrology, and water quality. These include projects supported through NASA’s Precipitation Measurement Missions, TROPICS/PREFIRE, Water Quality, and FINESST programs.

At IACS, she is particularly interested in advancing interdisciplinary research at the interface of atmospheric science, Earth system science, and artificial intelligence, and in developing scalable computational approaches for scientific discovery using large Earth observation datasets.