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Daniel Huttenlocher

MIT Co-chair, MIT-IBM Watson AI Lab; Dean, MIT Schwarzman College of Computing

MIT Schwarzman College of Computing Research Publications

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Computer Vision Deep Learning Machine Learning

Daniel Huttenlocher is the MIT co-chair of the MIT-IBM Watson AI Lab, dean of the MIT Schwarzman College of Computing, and the Henry Ellis Warren (1894) Professor of Computer Science and Artificial Intelligence and Decision-Making in MIT’s Department of Electrical Engineering and Computer Science (EECS). His research often bridges between academic subfields and academia and industry. Recently, he has focused on how to develop a better understanding of AI. Over the years he has developed a number of algorithmically-oriented computer vision techniques. The super-pixel segmentation method and Hausdorff distance methods that he helped create remain widely used, even in the modern deep learning era. Huttenlocher earned a BS from the University of Michigan, and an SM and PhD from MIT. He currently serves as the board chair of the John D. and Catherine T. MacArthur Foundation, and a board member of Corning Inc. and Amazon.com.

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