About

Formal Bio & Photo


Professor, Computer Science, Stanford
Chief Scientist, Visual Layer
Chief Scientist, Virtue AI
Member of National Academy of Engineering
Carlos Guestrin
Carlos Guestrin

Honors and Awards



Overview of Current and Previous Positions


Stanford University (since 2021)

I am a professor in the Computer Science Department at Stanford University. I am a member of the Stanford AI Lab (SAIL) and of the Stanford Center for AI Safety.

Visual Layer (since 2022)

I am the Chief Scientist at Visual Layer, which provides a highly scalable interactive tools for managing, enriching and curating visual data (images and videos). This company created the popular fastdup open-source project.

Virtue AI (since 2024)

I am the Chief Scientist at Virtue AI, which provides highly accurate and scalable guardrails, red-teaming and safe training for AI applications.

OctoML (since 2019)

I am on the board of directors at OctoAI (previously a technical advisor), which focuses on automatically accelerating machine learning model performance, enabling seamless deployment while maintaining accuracy. This company builds on and contributes to our Apache TVM project.

Apple (2016-2021)

I was the Senior Director of Machine Learning and AI at Apple, where I run the central ML team, which researched and developed new methods and product features, built the machine learning platform for the company, created the ML developer tools for the Apple ecosystem, and designed and offered education programs in AI.

Turi (2013-2016)

I was the CEO and co-founder of Turi, Inc. (formerly GraphLab and Dato), which developed a platform for developers and data scientist to build and deploy intelligent applications. (Acquired by Apple)

University of Washington (2012-2021)

I was the Amazon Professor of Machine Learning in Computer Science & Engineering at the University of Washington. I co-directed SAMPL with Luis CezeArvind Krishnamurthy, and Zachary Tatlock, an interdisciplinary ML research group addressing problems in the intersection between ML, systems, computer architecture and programming languages. I also co-directed the MODE Lab with Emily Fox and Ben Taskar (in memoriam).

Carnegie Mellon University (2004-2012)

I was the Finmeccanica Associate Professor in the Machine Learning Department and in the Computer Science Department at Carnegie Mellon University, where I co-directed the Sense, Learn, and Act (Select) Lab with Geoff Gordon.

Intel (2003-2004)

I was a senior researcher at the Intel Research Lab in Berkeley, focusing on wireless sensor networks.

Education


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