Jure Leskovec is Associate Professor of Computer Science at Stanford University, and investigator at Chan Zuckerberg Biohub. His general research area is applied machine learning for large interconnected systems focusing on modeling complex, richly-labeled relational structures, graphs, and networks for systems at all scales, from interactions of proteins in a cell to interactions between humans in a society. Applications include commonsense reasoning, recommender systems, computational social science, and computational biology with an emphasis on drug discovery. His research has won several awards, including a Lagrange Prize, a Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, and numerous best paper awards. Leskovec received his bachelor’s degree in computer science from University of Ljubljana, Slovenia; his PhD in machine learning from Carnegie Mellon University; and postdoctoral training at Cornell University.