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2017 ML@RICE Machine Learning Workshop

Workshop

Ken Kennedy Institute for Information Technology
Cosponsor: Chemical and Biomolecular Engineering
Cosponsor: Computational and Applied Mathematics
Cosponsor: Computer Science
Cosponsor: Dean of Engineering
Cosponsor: Electrical and Computer Engineering
Cosponsor: Jesse H. Jones Graduate School of Business
Cosponsor: Materials Science & NanoEngineering
Cosponsor: Statistics

By: Keynote Speaker: Alfred Spector
When: Tuesday, January 24, 2017
8:00 AM - 5:30 PM
Where: BioScience Research Collaborative
Abstract: Registration is now open! Join us at the Machine Learning Workshop at Rice University on January 24, 2017. Presentations will range from Rice machine learning researchers speaking about the latest theory and algorithms to industrial leaders speaking about applications in the energy, medical, financial, and legal industries.After the keynote by Dr. Alfred Spector of Two Sigma (formerly VP for Research at Google) there will be plenty of time for networking at the Poster Session and Reception.For a complete list of speakers and more information, visit the ML@Rice website at: http://ml2017.rice.edu/
Keynote Speaker: Alfred Spector
Bio:
Alfred Spector is Chief Technology Officer and Head of Engineering at Two Sigma, a firm dedicated to using information to optimize diverse economic challenges. Prior to joining Two Sigma, Dr. Spector spent nearly eight years as Vice President of Research and Special Initiatives, at Google, where his teams delivered a range of successful technologies including machine learning, speech recognition, and translation. Prior to Google, Dr. Spector held various senior-level positions at IBM, including Vice President of Strategy and Technology (CTO) for IBM Software and Vice President of Services and Software research across the company. He previously founded and served as CEO of Transarc Corporation, a pioneer in distributed transaction processing and wide-area file systems, and he was an associate professor of computer science at Carnegie Mellon University. Dr. Spector received a Bachelor's Degree in Applied Mathematics from Harvard University and a Ph.D. in Computer Science from Stanford University. He is an active member of the National Academy of Engineering and the American Academy of Arts and Sciences, where he serves on the Council.