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Pedram Hassanzadeh is an Associate Professor at the University of Chicago, specializing in the intersection of geophysical sciences and machine learning. He holds a Ph.D. in Geophysical Turbulence and an M.A. in Applied Mathematics, both from the University of California, Berkeley, obtained in 2013. He has served as a Ziff Environmental Fellow at the Harvard University Center for the Environment from 2013 to 2016, and has received significant awards, including the NSF CAREER Award in 2021 and the Young Investigator Award from the Office of Naval Research in 2020. His research focuses on extreme weather, climate change, scientific machine learning, and fluid dynamics. He leads the Climate Extremes Theory and Data (CeTD) group, which aims to integrate theory and observations with machine learning techniques to enhance understanding of future changes in extreme weather events due to climate change. In addition to his research, he is involved in the Institute for Climate and Sustainable Growth (ICSG), where he works on human-centered weather forecasting leveraging AI to innovate and democratize weather forecasts for broader societal benefit.
University of Chicago • Chicago, IL
Current position focusing on geophysical sciences and machine learning.
Department of Philosophy