Bio
Carlos Guestrin is a Professor in the Computer Science Department at Stanford University. His previous positions include the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple, after the acquisition of Turi, Inc. (formerly GraphLab and Dato) — Carlos co-founded Turi, which developed a platform for developers and data scientist to build and deploy intelligent applications. He is a technical advisor for OctoML.ai. His team also released a number of popular open-source projects, including XGBoost, LIME, Apache TVM, MXNet, Turi Create, GraphLab/PowerGraph, SFrame, and GraphChi.
Carlos received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, and IBM Faculty Fellowship, and was named one of the 2008 ‘Brilliant 10’ by Popular Science Magazine. Carlos’ work received awards at a number of conferences and journals, including ACL, AISTATS, ICML, IPSN, JAIR, JWRPM, KDD, NeurIPS, UAI, and VLDB. He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA.
2024-25 Courses
- Ethics of Artificial Intelligence
CS 281 (Spr) - Machine Learning
CS 229, STATS 229 (Aut) -
Independent Studies (8)
- Advanced Reading and Research
CS 499 (Aut, Win, Spr) - Advanced Reading and Research
CS 499P (Aut, Win, Spr) - Curricular Practical Training
CS 390A (Aut, Win, Spr) - Curricular Practical Training
CS 390B (Aut, Win, Spr) - Independent Project
CS 399 (Aut, Win, Spr) - Part-time Curricular Practical Training
CS 390D (Aut, Win, Spr) - Supervised Undergraduate Research
CS 195 (Aut, Win, Spr) - Writing Intensive Senior Research Project
CS 191W (Aut, Win, Spr)
- Advanced Reading and Research
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Prior Year Courses
2023-24 Courses
- Ethics of Artificial Intelligence
CS 281 (Spr) - Machine Learning
CS 229, STATS 229 (Aut)
2022-23 Courses
- Ethics of Artificial Intelligence
CS 281 (Spr) - Machine Learning
CS 229, STATS 229 (Aut)
2021-22 Courses
- Ethics of Artificial Intelligence
CS 281 (Spr) - Machine Learning
CS 229, STATS 229 (Aut)
- Ethics of Artificial Intelligence
Stanford Advisees
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Postdoctoral Faculty Sponsor
Yu Sun -
Master's Program Advisor
Maia Deutsch, George Dimopoulos, Jacob Frausto, Nevin George, Akshay Gupta, Kayson Hansen, Yucheng Jiang, Victor Li, Yunong Liu, Claire Ni, Edwin Pua, Herumb Shandilya, Daniel Shin, Boxin Zhang -
Doctoral Dissertation Co-Advisor (AC)
Natalie Dullerud, Agata Foryciarz, Isabel Gallegos, Mert Yuksekgonul -
Doctoral (Program)
Edward Chen, Irena Gao, Adarsh Jeewajee, Liana Patel, Theodora Worledge