HAMID PAHLAVAN
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About me

I am an atmospheric scientist currently holding a joint position as a Research Scientist at Northwest Research Associates (NWRA), Boulder, and the University of Chicago, where I work closely with Dr. M. Joan Alexander and Prof. Pedram Hassanzadeh. My research leverages advances in machine learning (ML) alongside the principles of climate dynamics to improve climate modeling and analysis. My recent work addresses critical challenges in AI-driven climate modeling, particularly issues of instability and the scarcity of high-fidelity data.

I completed his Ph.D. in Atmospheric Sciences at the University of Washington in 2022 under the guidance of Profs. John M. Wallace and Qiang Fu. My doctoral research focused on the dynamics of the quasi-biennial oscillation (QBO), the dominant mode of interannual variability in the tropical stratosphere, and on atmospheric gravity waves (GWs). This work contributed to a deeper understanding of stratospheric processes, which play a critical role in modulating weather and climate variability and have significant implications for extreme events such as cold air outbreaks and heat waves.

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