Dr. Jason Hickey leads the AI for Weather and Climate teams in Google Research. His work focuses on bringing innovation to the weather and climate enterprise, including AI methods that improve model accuracy and predictive power, data assimilation methods that enhance the use of satellite and environmental observations, platforms that are broadly open and accessible, and services that deliver actionable information to save lives and support prosperity. Dr. Hickey is also a founding member of the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES), focusing on developing trustworthy AI methods to improve understanding of and prediction of high-impact atmospheric science and ocean science phenomena, and create new educational pathways to develop a more diverse AI and environmental science workforce. Dr. Hickey is actively working with NOAA on using AI methods to improve weather and climate models. Prior to Google, Dr. Hickey was assistant professor of Computer Science at the California Institute of Technology. He holds the B.S. degree in Electrical Engineering from the California Institute of Technology, the M.Eng. degree in Electrical Engineering from Cornell University, and the M.S. and Ph.D. degrees in Computer Science from Cornell University.