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Make Data Work
Oct 15–17, 2014 • New York, NY
Carlos Guestrin

Carlos Guestrin
Director of Machine Learning | Amazon Professor of Machine Learning, University of Washington, Apple | University of Washington


Carlos Guestrin is the Amazon Professor of Machine Learning at the
Computer Science & Engineering Department of the University of
Washington. He is also a co-founder and CEO of GraphLab Inc.,
focusing large-scale machine learning and graph analytics. His
previous positions include the Finmeccanica Associate Professor at
Carnegie Mellon University and senior researcher at the Intel Research
Lab in Berkeley. Carlos received his PhD and Master from Stanford
University, and a Mechatronics Engineer degree from the University of
Sao Paulo, Brazil. Carlos’ work has been recognized by awards at a
number of conferences and two journals: KDD 2007 and 2010, IPSN 2005
and 2006, VLDB 2004, NIPS 2003 and 2007, UAI 2005, ICML 2005, AISTATS
2010, JAIR in 2007 & 2012, and JWRPM in 2009. He is also a recipient
of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan
Fellowship, IBM Faculty Fellowship, the Siebel Scholarship and the
Stanford Centennial Teaching Assistant Award. Carlos was named one of
the 2008 `Brilliant 10’ by Popular Science Magazine, received the
IJCAI Computers and Thought Award and the Presidential Early Career
Award for Scientists and Engineers (PECASE). He is a former member of
the Information Sciences and Technology (ISAT) advisory group for


1:30pm–5:00pm Wednesday, 10/15/2014
Data Science
Location: 1 C03/1 C04
Carlos Guestrin (Apple | University of Washington ), Alice Zheng (Amazon), Shawn Scully (Dato)
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This tutorial focuses on hands-on data science skills from prototyping to production. Using GraphLab tools, we walk through multiple case studies such as fraud detection, social network analysis, and building personalized recommendation services. Read more.