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Carlos Guestrin

Amazon Professor of Machine Learning, Computer Science & Engineering

Carlos Guestrin

  • Ph.D. Computer Science, Stanford University 2003
  • M.S. Computer Science, Stanford University 2000
  • Engineer’s Degree, Mechanical Engineering, University of São Paulo, 1998

Carlos Guestrin joins Computer Science & Engineering from Carnegie Mellon University, where he was the Finmeccanica Associate Professor in machine learning and computer science. He is also the co-founder of GGideaLab, a start-up for monetizing social networks. Previously, he was a senior researcher at the Intel Research Lab in Berkeley.

His research is focused on parallel algorithms, distributed systems, sensor networks and machine learning. Common themes include developing theoretically-founded algorithms; unifying statistics methods, optimization theory and machine learning; and exploiting problem-specific structure. Key applications of his work include sensor networks, dealing with big data, and distributed machine learning in parallel architectures.

Carlos’ honors include a Sloan Research Fellowship, a Presidential Early Career Award for Scientists and Engineers, the IJCAI Computers and Thought Award and he was named one of the 2008 “Brilliant 10” by Popular Science magazine.

New Faculty 2012 by Department

Chemical Engineering
James Carothers

Civil & Environmental Engineering
Michael Motley

Computer Science & Engineering
Ali Farhadi
Shyamnath Gollakota
Carlos Guestrin
Jeffrey Heer
Irena Kemelmacher-Shlizerman
Ben Taskar

Electrical Engineering
Brandon Pierquet

Human Centered Design & Engineering
Sean Munson
Kate Starbird