Webinar Series on Data Science for Environmental Sciences (DSES).
Our next webinar will be on *March 31*, at *9 am* Central Time (attached
flyer).
You can virtually access the webinar and register via our website:
www.environmetrics.xyz
*Speaker*: Claire Monteleoni, Choose France Chair in AI & Research Director
(INRIA Paris) and Associate Professor (University of Colorado Boulder)
*Title*: Machine Learning for Climate Change and Environmental
Sustainability
*Abstract*: Despite the scientific consensus on climate change, drastic
uncertainties remain. Crucial questions about regional climate trends,
changes in extreme events, such as heat waves and mega-storms, and
understanding how climate varied in the distant past, must be answered in
order to improve predictions, assess impacts and vulnerability, and inform
mitigation and sustainable adaptation strategies. Machine learning can help
answer such questions and shed light on climate change. I will give an
overview of our climate informatics research, focusing on challenges in
learning from spatiotemporal data, along with semi- and unsupervised deep
learning approaches to studying rare and extreme events, and precipitation
and temperature downscaling.
*Bio*: Claire Monteleoni is Choose France Chair in AI and Directrice de
Recherche at INRIA Paris, an Associate Professor in the Department of
Computer Science at the University of Colorado Boulder, and the founding
Editor in Chief of Environmental Data Science, a Cambridge University Press
journal, launched in December 2020. She joined INRIA in 2023 and has
previously held positions at University of Paris-Saclay, CNRS, George
Washington University, and Columbia University. She completed her PhD and
Masters in Computer Science at MIT and was a postdoc at UC San Diego. She
holds a Bachelor's in Earth and Planetary Sciences from Harvard. Her
research on machine learning for the study of climate change helped launch
the interdisciplinary field of Climate Informatics. She co-founded the
International Conference on Climate Informatics, which turns 12 years old
in 2023, and has attracted climate scientists and data scientists from over
20 countries and 30 U.S. states. She gave an invited tutorial: Climate
Change: Challenges for Machine Learning, at NeurIPS 2014. She currently
serves on the NSF Advisory Committee for Environmental Research and
Education.
Hope to see you all there!
*Ignacio Segovia-Dominguez*,
On behalf of the TIES Webinar Series' organizing committee
*Ignacio Segovia-Dominguez, Ph.D*
The University of Texas at Dallas
*NASA Jet Propulsion Laboratory, Caltech *
www.IgnacioSD.com
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