Atmospheric Sciences Seminar

February 26, 3:30pm - 4:30pm
Mānoa Campus, Marine Sciences Building, MSB 100 Add to Calendar

Deep Learning in the Physical Sciences

Dr. Peter Sadowski
Information and Computer Science
University of Hawaii at Manoa

Seminar Date: Wednesday, February 26, 2020
Refreshments: 3:00pm at MSB courtyard
Cookies, Coffee & Tea Provided
Seminar Time: 3:30pm
Location: Marine Sciences Building, MSB 100


Current excitement about artificial intelligence is largely due to the surprising effectiveness of deep learning with artificial neural networks. These models are particularly well-suited for high-dimensional data including video, time-series, and graphs. I will discuss the ways in which my group is applying deep learning to the physical sciences, including oceanography, atmospheric sciences, and climate models.


Peter Sadowski is an Assistant Professor of Information and Computer Sciences at the University of Hawaii Manoa. He completed his Ph.D. and Postdoc at University of California Irvine, and his undergraduate studies at Caltech. His research focuses on deep learning and its applications to the natural sciences, particularly those at the intersection of machine learning and physics. Webpage:

Event Sponsor
SOEST Atmospheric Sciences, Mānoa Campus

More Information
808-956-8775, SEE FLYER (PDF)

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