David John Gagne

National Center for Atmospheric Research (NCAR)
Machine Learning Scientist II
David John Gagne Image

Dr. David John Gagne II is a Machine Learning Scientist II and head of the Analytics and Integrative Machine Learning group at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado. His research focuses on developing machine learning systems to improve the prediction and understanding of high impact weather and to enhance weather and climate models. He received his Ph.D. in meteorology from the University of Oklahoma in 2016 and completed an Advanced Study Program postdoctoral fellowship at NCAR in 2018. He has collaborated with interdisciplinary teams to develop and evaluate machine learning systems for high impact weather and emulation of atmospheric processes. He is a senior leader of the NSF AI Institute on Trustworthy AI for Weather, Climate, and Coastal Oceanography (AI2ES) and senior personnel for the NSF LEAP Science and Technology Center. He has led summer schools, short courses, and hackathons on AI for Earth System Science, chairs the American Meteorological Society Artificial Intelligence Committee, and serves as an editor for the journal AI for the Earth Systems.