Principal Researcher, Microsoft
Rich Caruana is a principal researcher at Microsoft Research. Previously, he was on the faculty in the Computer Science Department at Cornell University, at UCLA’s Medical School, and at Carnegie Mellon University’s Center for Learning and Discovery. Rich received an NSF CAREER Award in 2004 (for meta clustering); best paper awards in 2005 (with Alex Niculescu-Mizil), 2007 (with Daria Sorokina), and 2014 (with Todd Kulesza, Saleema Amershi, Danyel Fisher, and Denis Charles); co-chaired KDD in 2007 (with Xindong Wu); and serves as area chair for Neural Information Processing Systems (NIPS), International Conference on Machine Learning (ICML), and KDD. His research focus is on learning for medical decision making, transparent modeling, deep learning, and computational ecology. He holds a PhD from Carnegie Mellon University, where he worked with Tom Mitchell and Herb Simon. His thesis on multi-task learning helped create interest in a new subfield of machine learning called transfer learning.
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