Career
Kumo.AI
Co-Founder and Chief Scientist
Position
Co-Founder and Chief Scientist
Stanford University
Professor of Computer Science / Co-Founder and Chief Scientist / Stanford University / 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 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.
Co-Founder and Chief Scientist
Co-Founder and Chief Scientist
Professor
Me and my students work on machine learning, deep learning and graph neural networks. More at http://cs.stanford.edu/~jure/
Investigator
Investigator
Chief Scientist
Chief Scientist
Co-founder
Smarter, personalized mobile ads. Acquired by Pinterest.
Post-doc
Post-doc
PhD in Machine Learning
PhD in Machine Learning
Intern
Worked with Ravi Kumar and Andrew Tomkins on microscopic evolution of social networks.
Intern
Worked with Eric Horvitz and Susan Dumais on web search query modeling, and the dynamics of a instant messenger network of 240 million people.
Intern
Worked with Bernardo Huberman and Lada Adamic on the dynamics of person-to-person product recommendations in a large social network.
Researcher
Research projects on: machine learning, data mining, text and web mining large graphs and networks, applications of machine learning and data mining.
Visiting scholar
Worked with Christos Faloutsos on problems posed by large graphs.
Intern
With John Shawe-Taylor on text classification on uneven training datasets.
Intern
With Natasa Milic-Frayling on web browser user navigation and search.
Ph.D.
Ph.D. - Machine Learning
Postdoc
Postdoc - Computer Science
Diploma [B.Sc.]
Diploma [B.Sc.] - Computer Science
N/A
Core technical and professional competencies derived from academic research, industry leadership, and startup experience.
Machine Learning
Graph Neural Networks (GNNs)
Deep Learning
Data Mining
Network Science
Natural Language Processing (NLP)
Algorithms
Information Retrieval
Big Data
Computer Vision
Python
C++
Java
Hadoop
Matlab
LaTeX
Academic Leadership
Startup Co-founding
Chief Scientist Leadership
Strategic Planning
Team Management
Product Vision
Research Mentorship
Artificial Intelligence, Machine Learning, Graph Learning, Network Science
Academia (Stanford), Enterprise AI (Kumo.AI), Social Media (Pinterest), Biomedical Research (CZ Biohub)
Pioneering, Academic, Data-Driven, Innovative, Educator, Entrepreneurial
AI, Graph Learning, Large-Scale Systems, Research, Technology Transfer
Male 65.7%, Female 34.3%
25-34 (64.5%), 35-54 (17.8%), 18-24 (12.4%)
US (13.1%), BR (11.7%), IR (8.6%), IN (7.0%)
Tehran (2.7%), Baghdad (2.2%), New York (1.5%)
1,014 followers
44.3K followers