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© 2025 SUPERLINEAR PTE. LTD. All rights reserved
Jure LeskovecJure Leskovec

Jure Leskovec

Professor of Computer Science / Stanford University / Co-Founder and Chief Scientist / Kumo.AI

Jure Leskovec is a Professor of Computer Science at Stanford University, specializing in machine learning, deep learning, and graph neural networks. He is highly influential in the field, evidenced by his widely cited research and the popular Stanford course CS224W: Machine Learning with Graphs. Additionally, he is a co-founder and Chief Scientist at Kumo.AI and previously served as Chief Scientist at Pinterest.

Ph.D., Carnegie Mellon University
United States
InstagramInstagram1,006
TwitterTwitter
LinkedInLinkedIn83.5K
AcademiaArtificial IntelligenceData Science
225K+
Citations
83.5K
LinkedIn Followers
2
Companies Co-Founded
15+
Years at Stanford
Search More

Work Experience

Kumo.AIKumo.AI
Kumo.AI

Co-Founder and Chief Scientist

Apr 2022 - Present
Position
Co-Founder and Chief Scientist
Stanford UniversityStanford University
Stanford University

Professor

Sep 2009 - Present
Responsibilities
Me and my students work on machine learning, deep learning and graph neural networks. More at http://cs.stanford.edu/~jure/
Chan Zuckerberg BiohubChan Zuckerberg Biohub
Chan Zuckerberg Biohub

Investigator

2017 - 2022
Position
Investigator
PinterestPinterest
Pinterest

Chief Scientist

2015 - 2022
Position
Chief Scientist
KoseiKosei
Kosei

Co-founder

2014 - 2015
Responsibilities
Smarter, personalized mobile ads. Acquired by Pinterest.
Cornell UniversityCornell University
Cornell University

Post-doc

Sep 2008 - Sep 2009
Position
Post-doc
Carnegie Mellon UniversityCarnegie Mellon University
Carnegie Mellon University

PhD in Machine Learning

Aug 2004 - Sep 2008
Position
PhD in Machine Learning
Yahoo ResearchYahoo Research
Yahoo Research

Intern

May 2007 - Aug 2007
Responsibilities
Worked with Ravi Kumar and Andrew Tomkins on microscopic evolution of social networks.
Microsoft ResearchMicrosoft Research
Microsoft Research

Intern

May 2006 - Aug 2006
Responsibilities
Worked with Eric Horvitz and Susan Dumais on web search query modeling, and the dynamics of a instant messenger network of 240 million people.
Hewlett Packard LaboratoriesHewlett Packard Laboratories
Hewlett Packard Laboratories

Intern

Jun 2005 - Aug 2005
Responsibilities
Worked with Bernardo Huberman and Lada Adamic on the dynamics of person-to-person product recommendations in a large social network.
Jozef Stefan InstituteJozef Stefan Institute
Jozef Stefan Institute

Researcher

May 1997 - Aug 2004
Responsibilities
Research projects on: machine learning, data mining, text and web mining large graphs and networks, applications of machine learning and data mining.
Carnegie Mellon UniveristyCarnegie Mellon Univeristy
Carnegie Mellon Univeristy

Visiting scholar

Jun 2003 - Aug 2003
Responsibilities
Worked with Christos Faloutsos on problems posed by large graphs.
Royal Holloway University of London,Royal Holloway University of London,
Royal Holloway University of London,

Intern

Jun 2002 - Aug 2002
Responsibilities
With John Shawe-Taylor on text classification on uneven training datasets.
Microsoft Research, Cambridge, UKMicrosoft Research, Cambridge, UK
Microsoft Research, Cambridge, UK

Intern

Jun 2001 - Sep 2001
Responsibilities
With Natasa Milic-Frayling on web browser user navigation and search.

Education

Carnegie Mellon UniversityCarnegie Mellon University
Carnegie Mellon University

Ph.D.

2004 - 2008
Field of Study
Ph.D. - Machine Learning
Cornell UniversityCornell University
Cornell University

Postdoc

2008 - 2009
Field of Study
Postdoc - Computer Science
University of LjubljanaUniversity of Ljubljana
University of Ljubljana

Diploma [B.Sc.]

1999 - 2004
Field of Study
Diploma [B.Sc.] - Computer Science
Gimnazija BezigradGimnazija Bezigrad
Gimnazija Bezigrad
Education
N/A

Key Highlights

Citations (Google Scholar)

225.2K+

Research Focus

Pioneered Graph Machine Learning

Kumo.AI Role

Co-Founder & Chief Scientist

Pinterest Role

Chief Scientist (2015-2022)

Professional Focus & Skills

Professor Jure Leskovec's expertise spans the intersection of machine learning, large-scale graph analysis, and real-world applications in social and information networks, driving innovation in AI and data science.

Core Expertise
Machine LearningArtificial IntelligenceData MiningGraph Neural NetworksKnowledge Graphs
Technical Skills
Social Network AnalysisText MiningInformation RetrievalLink AnalysisBig Data

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