David-John Gagne
(He/Him)
The National Center for Atmospheric Research (NCAR)
Dr. David John Gagne II is a Machine Learning Scientist II and head of the Machine Integration and Learning for Earth Systems 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, chaired the American Meteorological Society Artificial Intelligence Committee, and serves as an editor for the journal AI for the Earth Systems.
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Talks
How We are Building Trustworthy AI for Weather and Climate in AI2ES
24-Apr-24
Keynote
Panel: Ethics and Explainability in Climate AI: From Theory to Practice
24-Apr-24
Scientific inquiry and artificial intelligence algorithms are increasingly intertwined. This makes it essential to collectively develop guidelines for responsible and ethical behavior for training, deploying, and using AI-based models in scientific investigation, more crucially so for a field with such high societal impact as climate science. In this panel, we aim to explore this relatively uncharted territory, with the goal of creating a pipeline for a mindful climate science practice and identifying standards for disseminating results.
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