Jure Leskovec

Jure Leskovec is an assistant professor of Computer Science at Stanford University.

 

His research focuses on the mining and modeling of large social and information networks as the study of phenomena across the social, technological, and natural worlds. Problems he investigates are motivated by large scale data, the Web and online media.

 

Jure holds a bachelor’s degree in computer science from University of Ljubljana, Slovenia, as well as a master’s degree and Ph.D. in machine learning from the Carnegie Mellon University. Prior to joining Stanford, he worked as a postdoctoral researcher at Cornell University.

 

Jure has authored the Stanford Network Analysis Platform, a general purpose network analysis and graph mining library that easily scales to massive networks with hundreds of millions of nodes, and billions of edges.

 

He received six best paper awards, ACM KDD dissertation award, Microsoft Research Faculty Fellowship and appeared on IEEE Intelligent Systems magazine "AI's 10 to Watch". His research has been featured in Nature, New York Times, Wall Street Journal and Washington Post.