Claire Monteleoni

Associate Professor & Associate Chair for Inclusive Excellence, Department of Computer Science

Founding Editor in Chief, Environmental Data Science, Cambridge University Press

Background

• Jean d’Alembert Fellow, Université Paris-Saclay / CNRS, 2017-2018.
• Associate Professor, Computer Science, George Washington University, 2017-2018.
• Assistant Professor, Computer Science, George Washington University, 2011-2017.
• Associate Research Scientist, CCLS, Columbia University, 2008-2011.
• Postdoc, CSE, UC San Diego. Advisor: Sanjoy Dasgupta. 2006-2008.
• Ph.D. 2006, S.M. 2003. Advisor: Tommi Jaakkola. CSAIL, EECS, MIT. 
• A.B. EPS, Harvard.

AI for Climate Change

Tutorial

“Climate Change: Challenges for Machine Learning,” NeurIPS 2014. Video and slides.

Conference

I co-founded the Climate Informatics Workshop in 2011, and its associated hackathon in 2015. The workshop turned 10, becoming a Conference, in 2020, and the hackathon turned 7, in 2021. Within its first five years, the workshop attracted climate scientists and data scientists from over 20 countries and 30 states.

Climate & Machine Learning Boulder (CLIMB)

AI for the Environment

Join our Colorado AI for the Environment (CARE) community!