Computational Sciences & Climate Modeling: Learning from the AI Revolution

Columbia Engineering's AI Lecture Series explores the most cutting-edge topics in artificial intelligence and brings to campus thinkers and leaders who are shaping tomorrow’s technology landscape in a wide variety of fields. Join us to unravel the complexities and possibilities of AI in today's rapidly evolving world.

You are invited to participate in the inaugural lecture in the series, which will take place on Friday, September 27, 2024 during Climate Week NYC 2024. This public event will feature a topical presentation followed by a networking reception. Join this important conversation on the future of computational sciences and climate modeling with lessons learned from the AI revolution.

This event is part of .

Schedule

• 12:30-1:00PM Registration (CEPSR lobby)
• 1:00-2:00PM Inaugural AI Lecture (Davis Auditorium, 412 CEPSR)
• 2:00-3:00PM Networking Reception (location TBD)

Venue
Join us on Columbia University's Morningside Campus in New York City. The lecture will take place in Davis Auditorium, 412 Schapiro CEPSR (4th Floor campus level), at 530 W. 120th Street, between Broadway and Amsterdam. Campus map/directions/parking

AI has been revolutionizing many areas of science from protein unfolding to tumor detection. Over the last five years, fluid dynamics and weather forecasting have witnessed such a revolution and AI-based models are starting to be adopted for near real-time weather forecasting. Even though several groups have made important progress for applications of AI to long-term climate projections, a revolution is not yet within reach yet is crucial so that our societies can adapt to climate change.

We will present some of the roadblocks in climate modeling and opportunities to import some of the pillars of the AI revolution to climate modeling. With these developments that require innovation on the algorithmic side, an AI revolution for climate might be within reach.

Pierre Gentine, Director, National Science Foundation Science and Technology Center (STC) Learning the Earth with Artificial Intelligence and Physics (LEAP); Maurice Ewing and J. Lamar Worzel Professor of Geophysics, Departments of Earth and Environmental Engineering and Earth and Environmental Sciences, Columbia University

Pierre Gentine investigates the continental hydrologic cycle using multi scale modeling and big data (machine learning, remote sensing, high-resolution turbulent simulations) in the context of rising CO2 concentrations. Gentine hopes to answer questions such as what will be the future of droughts and extreme dryness/precipitations, and how will they impact agricultural production?

Pierre Gentine received his undergraduate degree from SupAéro, the French National Aeronautical and Space Engineering School in Applied Mathematics in Toulouse, France. He obtained a MSc and PhD in civil and environmental engineering from Massachusetts Institute of Technology (MIT) in 2006 and 2010, respectively. He joined the faculty of the Department of Applied Mathematics and Applied Physics at Columbia Engineering in 2010.

Accessibility
Columbia University makes every effort to accommodate individuals with disabilities. If you require disability accommodations to attend an event at Columbia University, please contact the Office of Disability Services at 212.854.2388 or [email protected].

Photography

Columbia Engineering reserves the right to capture and use images (including video, photo, audio) of student participants at this event in its current or future marketing materials. These materials include but are not limited to: social media, digital and/or print posters, email and web-based materials. By attending and participating in this event, you are consenting to having your image captured for these purposes. If you have concerns about your likeness being used, please reach out to [email protected] and we will accommodate your request.

Host or Publisher Columbia Engineering