University of São Paulo
Chelsea FinnAssistant Professor · Stanford UniversityResearcher↗
Researcher · Academic
Carlos Guestrin
Stanford UniversityProfessor of Computer Science
Virtue AICo-founder and Chief Scientist
🇧🇷 BrazilianBorn 1975
Guestrin co-created XGBoost, which became a standard tool for predictions from tables such as financial and medical records.[1] He also developed LIME, a method that explains one prediction from a complex model by approximating it with a simpler local model.[2] His open-source work helped make powerful machine learning broadly usable.
Career & education
Current rolesStanford University2021-presentProfessor of Computer ScienceVirtue AI2024-presentCo-founder and Chief Scientist
Stanford University2021-presentVirtue AI2024-presentPreviously
Apple2016-2021Senior Director of AI and Machine Learning
University of Washington2012-2021Professor, ML
Apple2016-2021University of Washington2012-2021Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations208,692As of Nov 1, '26
citations+6,774Since last snapshot, Oct 1, '26
References
- XGBoost: A Scalable Tree Boosting Systemarxiv.org
XGBoost: A Scalable Tree Boosting System supports the anchored contribution. Original two project papers establish co-authorship, tabular prediction adoption and local explanations. Existing prose preserved; broad open-source significance follows these contributions.
- Why Should I Trust You? Explaining the Predictions of Any Classifierarxiv.org
Why Should I Trust You? Explaining the Predictions of Any Classifier supports the anchored contribution. Original two project papers establish co-authorship, tabular prediction adoption and local explanations. Existing prose preserved; broad open-source significance follows these contributions.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
