Jure Leskovec

Dr. Jure Leskovec, serving as Professor of Computer Science at Stanford University, has established himself as a leading authority in network science and machine learning since joining the faculty in 2009 after earning his PhD from Carnegie Mellon University. As the creator of the Stanford Network Analysis Platform (SNAP) and Chief Scientist at Pinterest, he combines academic excellence with practical industry applications, focusing on developing computational models for analyzing massive networks across social media, technological systems, and biomedicine. His groundbreaking research has earned him numerous accolades, including the ICDM Research Contributions Award, the Lagrange Prize, and selection as a Sloan Research Fellow, while his teaching portfolio includes influential courses in machine learning with graphs and mining massive datasets. Through his leadership roles at Stanford's AI Lab, Machine Learning Group, and Center for Research on Foundation Models, Dr. Leskovec continues to advance the field of network science, with his work finding applications in major technology companies like Facebook and Uber, as well as contributing to public health initiatives during the COVID-19 pandemic. His research spans graph neural networks, geometric deep learning, and recommender systems, while his recent work focuses on foundation models and their applications in scientific discovery, making him a pivotal figure in shaping the future of artificial intelligence and network analysis.