Dr. Jure Leskovec

Biography

Jure Leskovec is a Professor at Stanford University specializing in applied machine learning and large interconnected systems. His research focuses on modeling complex, richly-labeled relational structures, including graphs and networks, to understand scales of interaction from proteins to human society. His work has applications in commonsense reasoning, recommender systems, computational social science, and computational biology with an emphasis on drug discovery. A significant aspect of his research involves organizing workshops, such as the Stanford Graph Learning Workshop series, which invites leading researchers and practitioners to share recent advances in AI and machine learning. Leskovec is known for his contributions to frameworks like PyTorch and Open Graph Benchmark, paving the way for advancements in graph neural networks and relational deep learning. He is involved in educational initiatives including courses on machine learning in graphs and tutorials on deep learning in network biology, demonstrating his commitment to disseminating knowledge in these emerging fields.

Research Interests