Computational Sciences & Climate Modeling: Learning from the AI Revolution
Davis Auditorium, Schapiro CEPSR, Campus Level 4th Flr
530 West 120th Street New York, NY 10027
COLUMBIA ENGINEERING LECTURE SERIES IN AI
Columbia Engineering's Lecture Series in AI 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 Climate Week at Columbia Engineering.
OPENING REMARKS
Remarks by Shih-Fu Chang, Dean, Columbia Engineering & Vishal Misra, Vice Dean of Computing and AI, Columbia Engineering
DISTINGUISHED LECTURER
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.
Please click here for more information and to register for this event; https://www.eventbrite.com/e/computational-sciences-climate-modeling-learning-from-the-ai-revolution-tickets-971052784017?aff=oddtdtcreator
Please click the link above for more information and to register for this event.
