Claire Monteleoni is an assistant professor of Computer Science at George Washington University. Previously, she was research faculty at the Center for Computational Learning Systems, at Columbia University. She did a postdoc in Computer Science and Engineering at the University of California, San Diego, and completed her PhD and Masters in Computer Science, at MIT. She holds a Bachelors in Earth and Planetary Sciences from Harvard. Her research focuses on machine learning algorithms and theory for problems including learning from data streams, learning from raw (unlabeled) data, learning from private data, and climate informatics: accelerating discovery in climate science with machine learning. Her work on climate informatics received the Best Application Paper Award at NASA CIDU 2010. In 2011, she co-founded the International Workshop on Climate Informatics, which is now in its sixth year, attracting climate scientists and data scientists from over 19 countries and 30 states. She presented an invited tutorial on climate informatics at NIPS 2014, and invited talks at AGU 2015 and 2013. In 2016, she served as Co-chair of the Special Track on Computational Sustainability at AAAI 2016, Area Chair for NIPS 2016, on the Senior PC of UAI 2016, and on the Editorial Board of the Machine Learning Journal.