Jure Leskovec
Co-Founder And Chief Scientist at Kumo.AI
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJure Leskovec is a Stanford professor, co-founder and chief scientist with 15 years of experience at the intersection of machine learning, network science and applied AI. He holds a Ph.D. in Machine Learning from Carnegie Mellon and has led research and product teams at Pinterest and Kumo.AI, translating graph mining and deep learning research into real-world systems. His work focuses on mining and modeling large networks, link and text analysis, and graph neural networks, and he is a core contributor to SNAP, Stanford’s influential open-source network analysis library. Based in Palo Alto, he combines academic rigor with startup execution, and his career includes cross-disciplinary stints at the Chan Zuckerberg Biohub and multiple industrial research labs. Notably, his contributions to SNAP reflect deep involvement in high-performance C++ graph algorithms, underscoring a rare blend of theoretical insight and low-level systems skill.
15 years of coding experience
19 years of employment as a software developer
Diploma [B.Sc.], Computer Science, Diploma [B.Sc.], Computer Science at University of LjubljanaGimnazija BezigradPostdoc, Computer Science, Postdoc, Computer Science at Cornell UniversityPh.D., Machine Learning, Ph.D., Machine Learning at Carnegie Mellon University
Github Skills (6)
data-structures10
graph-algorithms10
c-language10
lib10
cprogramming-language10
data-structure10
Programming languages (1)
Github contributions (3)
snap-stanford/snap
Nov 2010 - Feb 2016
Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:252 commits, 17 pushes, 1 comment in 5 years 3 months
Contributions summary:Jure's contributions focused on modifying and enhancing the core functionality of the Stanford Network Analysis Platform (SNAP) library. Their work involved making extensive changes across various C++ source files, as highlighted by the "SNAP ALL FILES" commit messages. These changes included updating existing functions, such as those involved in graph statistics calculations, and potentially adding new functionalities, all within the core/snap directory, indicating a focus on the library's internal algorithms and data structures. The user’s modifications primarily involved changes within the core/snap directory.
stanfordpythonminingpurposegraph
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