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Istvan Szunyogh is a Professor at Texas A&M University in the Department of Atmospheric Sciences. His research primarily focuses on numerical weather prediction models and the climate system, employing advanced numerical, machine learning (ML), and statistical techniques. Dr. Szunyogh has led efforts in Earth system modeling and data assimilation, striving to improve predictability within complex atmospheric and oceanic systems. His academic journey includes significant postdoctoral, research scientist, and assistant professorship roles across various prestigious institutions, including the Massachusetts Institute of Technology and the University of Maryland. He has made key contributions to the international THORPEX program and has been recognized with the 2017 Distinguished Achievement Award from the College of Geosciences for Faculty Excellence in Research. His extensive experience encompasses theoretical investigations as well as experimentation with both idealized and state-of-the-art models. He holds a Ph.D. in Earth Sciences from the Hungarian Academy of Sciences and a diploma in Meteorology from Eotvos Lorand University.
Texas A&M University • College Station, TX
Professor in the Department of Atmospheric Sciences.
University of Maryland • College Park, MD
Involved in the Department of Meteorology and related scientific programs.
University of Maryland • College Park, MD
Conducted research in the Department of Meteorology.
Massachusetts Institute of Technology • Cambridge, MA
Worked in the Department of Earth, Atmospheric, Planetary Sciences.
National Centers for Environmental Prediction • Boulder, CO
Conducted research as part of the National Weather Service.
Department: Department of Communication and Journalism. Ph.D. program only currently admitting. GRE is test-optional.