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  1. Home
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  3. Jure Leskovec
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Jure Leskovec

Jure Leskovec

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

CountryUnited States
EducationPh.D. in Machine Learning, Carnegie Mellon University
Known ForMachine Learning, Artificial Intelligence, Data Mining, Graph Neural Networks, Computer Science, Network Science
Twitter44.3K
Instagram1,014
LinkedIn83.9K
TechnologyAcademiaArtificial Intelligence
LinkedIn Followers
83.9K
Twitter Followers
44.3K
Google Scholar Citations
>5,330 (for SNAP)
Years at Stanford
15+
Search More

About Jure Leskovec

Jure Leskovec is a Professor of Computer Science at Stanford University, specializing in machine learning, deep learning, and graph neural networks. He is also the Co-Founder and Chief Scientist of Kumo.AI, a company focused on applying AI to enterprise data. Previously, he served as Chief Scientist at Pinterest and has made significant contributions to the field of large-scale network analysis and graph representation learning.

Career

Kumo.AI
Kumo.AI

Co-Founder and Chief Scientist

Apr 2022 - Present
Position

Co-Founder and Chief Scientist

Stanford 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 Biohub
Chan Zuckerberg Biohub

Investigator

2017 - 2022
Position

Investigator

Pinterest
Pinterest

Chief Scientist

2015 - 2022
Position

Chief Scientist

Kosei
Kosei

Co-founder

2014 - 2015
Responsibilities

Smarter, personalized mobile ads. Acquired by Pinterest.

Cornell University
Cornell University

Post-doc

Sep 2008 - Sep 2009
Position

Post-doc

Carnegie Mellon University
Carnegie Mellon University

PhD in Machine Learning

Aug 2004 - Sep 2008
Position

PhD in Machine Learning

Yahoo Research
Yahoo Research

Intern

May 2007 - Aug 2007
Responsibilities

Worked with Ravi Kumar and Andrew Tomkins on microscopic evolution of social networks.

Microsoft 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 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 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 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,

Intern

Jun 2002 - Aug 2002
Responsibilities

With John Shawe-Taylor on text classification on uneven training datasets.

Microsoft 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 University
Carnegie Mellon University

Ph.D.

2004 - 2008
Field of Study

Ph.D. - Machine Learning

Cornell University
Cornell University

Postdoc

2008 - 2009
Field of Study

Postdoc - Computer Science

University of Ljubljana
University of Ljubljana

Diploma [B.Sc.]

1999 - 2004
Field of Study

Diploma [B.Sc.] - Computer Science

Gimnazija Bezigrad
Gimnazija Bezigrad
Education

N/A

Skills

Core technical and professional competencies derived from academic research, industry leadership, and startup experience.

Technical & Research Skills

Machine Learning

Graph Neural Networks (GNNs)

Deep Learning

Data Mining

Network Science

Natural Language Processing (NLP)

Algorithms

Information Retrieval

Big Data

Computer Vision

Programming & Tools

Python

C++

Java

Hadoop

Matlab

LaTeX

Leadership & Business

Academic Leadership

Startup Co-founding

Chief Scientist Leadership

Strategic Planning

Team Management

Product Vision

Research Mentorship

Domains

Primary Focus

Artificial Intelligence, Machine Learning, Graph Learning, Network Science

Industry Domains

Academia (Stanford), Enterprise AI (Kumo.AI), Social Media (Pinterest), Biomedical Research (CZ Biohub)

Tags

Personality & Approach

Pioneering, Academic, Data-Driven, Innovative, Educator, Entrepreneurial

Key Focus Areas

AI, Graph Learning, Large-Scale Systems, Research, Technology Transfer

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