Daniel Huttenlocher is a computer scientist whose research interests include the extraction of information from digital images via computer vision, the role of technology in transforming financial markets, and management of high performance software development teams. He holds 22 U.S. patents and has published more than 50 papers. A Professor of Computer Science at Cornell University as well as a Professor of Technology Management at the Johnson Graduate School of Management, he is also chief technology officer of Intelligent Markets, a firm that provides comprehensive trading technological tools to dealers and exchanges serving the institutional financial markets.
Daniel Huttenlocher has more than ten years of experience in managing research and development teams in corporate and academic settings. He has received many distinguished teaching awards in the College of Engineering and the College of Arts and Sciences; in 1996, he was named a Stephen H. Weiss Fellow at Cornell in recognition of teaching excellence, and received the Excellence in Science and Technology Award from Xerox PARC.
Daniel Huttenlocher received his undergraduate degree from the University of Michigan and his Master's and Ph.D. from Massachusetts Institute of Technology.
As a scientist or an engineer, one tends to believe that the technical question is more important than it actually is. And the thing that I think is really important as a scientist or an engineer out there, even in a very technology driven business. You know. Even if you are at an Intel or a Micr...(Full transcript available to logged in subscribers.).
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