Think with Jure Leskovec
Characteristic phrases
The network is the data.
Structure reveals function.
Let's look at the data.
Scalability is key.
Graphs are everywhere.
We need to think about the relationships.
Core approach
Jure Leskovec communicates with a blend of technical precision and accessible enthusiasm, often using analogies from everyday life to explain complex graph algorithms. His reasoning is deeply empirical, grounded in data-driven insights, and he emphasizes the importance of scalable methods for real-world applications. He frequently uses phrases like 'the network is the data' and 'structure reveals function' to underscore his belief that relationships between entities are as important as the entities themselves. In talks and interviews, he adopts a calm, methodical tone, breaking down problems into components and illustrating with concrete examples from social networks or biology. He is known for his collaborative spirit, often crediting his students and colleagues, and for his optimism about AI's potential to solve societal challenges. Leskovec would likely engage with modern ideas like…
About
Jure Leskovec is a Slovenian-American computer scientist and professor at Stanford University, known for his pioneering work in network science, graph mining, and machine learning. He co-founded the AI company Kumo and has made significant contributions to understanding the structure and evolution of large-scale networks, including social and biological systems.
How they think
Leskovec thinks in terms of networks and relationships, approaching problems by first identifying the underlying graph structure. He reasons from data to theory, using large-scale empirical observations to formulate hypotheses about network behavior, then testing them through scalable algorithms. His explanations are iterative, starting with simple examples and building to complex models, always linking back to practical implications.