Carlos Guestrin
Stanford computer science professor; co-author of XGBoost and LIME and co-founder of Turi
- Professor, Computer Science; Fortinet Founders Professor and Senior Fellow at the Stanford Institute for Human-Centered AI, Stanford University1
Carlos Guestrin is a Professor of Computer Science at Stanford University, the Fortinet Founders Professor, and a Senior Fellow at the Stanford Institute for Human-Centered AI. Guestrin was previously the Amazon Professor of Machine Learning at the University of Washington and the Finmeccanica Associate Professor at Carnegie Mellon University. Guestrin co-founded Turi (formerly GraphLab and Dato) and, after Apple acquired it, served as Apple's Senior Director of Machine Learning and AI. Guestrin's teams released open-source projects including XGBoost, LIME, Apache TVM, MXNet, Turi Create and GraphLab/PowerGraph, and Guestrin co-authored the XGBoost paper with Tianqi Chen and the LIME paper on explaining the predictions of any classifier.123
Work
XGBoost (external site: github.com)Open-source code
Co-author with Tianqi Chen of "XGBoost: A Scalable Tree Boosting System" (2016); the Stanford profile lists XGBoost among the open-source projects released by Guestrin's team.214
LIME (external site: arxiv.org)Published research
Co-author of "Why Should I Trust You?": Explaining the Predictions of Any Classifier (2016), which introduced LIME for explaining individual predictions of any classifier.31
Earlier roles
- Senior Director of Machine Learning and AI, Apple1
- Amazon Professor of Machine Learning, Computer Science & Engineering, University of Washington1
- Finmeccanica Associate Professor, Carnegie Mellon University1
- Co-founder, Turi, Inc. (formerly GraphLab and Dato)1
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