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Jure Leskovec
Professor at Stanford Computer Science and Co-Founder at Kumo.ai
Jure Leskovec is a prominent computer scientist and academic with an impressive background in machine learning and artificial intelligence. He is currently a Professor of Computer Science at Stanford University and serves as the Co-Founder and Chief Scientist at Kumo.AI.124
Professional Background
Leskovec has an extensive and distinguished career in technology and academia:
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Education:
- Ph.D. in Machine Learning from Carnegie Mellon University (2004-2008)
- B.Sc. in Computer Science from University of Ljubljana, Slovenia (1999-2004)
- Postdoctoral researcher at Cornell University (2008-2009)
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Professional Experience:
- Stanford University Professor (September 2009 - Present)
- Chief Scientist at Pinterest (2015-2022)
- Investigator at Chan Zuckerberg Biohub (2017-2022)
- Co-founder of Kosei (acquired by Pinterest)
Research and Expertise
His research focuses on machine learning, data mining, and graph neural networks, with significant contributions to understanding complex interconnected systems. Leskovec has pioneered research in graph neural networks and co-authored PyG, the most widely-used graph neural network library.5
Achievements
Leskovec has received numerous prestigious awards, including:
- Microsoft Research Faculty Fellowship (2011)
- Okawa Research Award (2012)
- Alfred P. Sloan Fellowship (2012)
- Lagrange Prize (2015)
- ICDM Research Contributions Award (2019)
His research has been incorporated into products at major tech companies like Facebook, Pinterest, Uber, YouTube, and Amazon.5
Current Venture: Kumo.AI
At Kumo.AI, Leskovec is driving innovation in predictive AI, leveraging graph neural networks to create advanced machine learning solutions for enterprises.34 The startup specializes in generating and deploying highly accurate predictive models across various industries.3
Highlights
MIT research suggests 95% of GenAI pilots are failing to deliver ROI. Why? Because we are forcing LLMs to do jobs they weren't designed for.
LLMs mastered language. But they don't understand the structured, relational data that businesses actually run on.
My new piece in @TDataScience 👇

Incredibly proud of my student @rishabhranjan and our collaboration with @SAP on this exciting work! 🚀 We’re bringing the power of Transformers beyond sequences—into the world of relational data that underpins enterprise applications. A great example of how foundational research meets real-world impact. 👇
