Workshop Invited Speakers




 Claudia Tebaldi, Project Scientist, Climate and Global Dynamics Laboratory, National Center for Atmospheric Research

Opportunities and Challenges in the Analysis of Multi-model Ensemble Output


Lawrence Carin, Professor of Electrical and Computer Engineering, and Vice Provost for Research, Duke University

Recent Machine Learning Methods and Their Potential for CI


Andrew Rhines, Associate of the Department of Earth and Planetary Sciences, Faculty of Arts and Sciences, Harvard University

Dealing with Dirty Data: A Blueprint for Analyzing Climate Variability


Michael Tippett, Lecturer in Discipline, Department of Applied Physics and Applied Mathematics, Columbia University

Hazardous convective weather risk: Big and small data problems


Rich Caruana, Senior Researcher, Microsoft Research

Do Deep Nets Really Need To Be Deep?


Imme Ebert Uphoff, Research Faculty, Department of Electrical and Computer Engineering, Colorado State University

Knowledge discovery in climate science


Yolanda Gil, Principal Investigator and Project Leader, Interactive Knowledge Capture research Group, USC’s Information Sciences Institute, University of Southern California

Intelligent Systems for Climate Research: When Will Deep Learners Meet Deep Knowledge?