Jure Leskovec

Bio

He is an associate professor of Computer Science at Stanford University where I am a member of the InfoLab and the AI lab. I joined the department in September 2009.

He is also an investigator at Chan Zuckerberg Biohub, where I focus on developing new methods for analysis of biomedical data.

His general research area is applied machine learning and data science for large interconnected systems. Focuses 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, Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, and numerous best paper and test of time awards. It has also been featured in popular press outlets such as the New York Times and the Wall Street Journal. I received my bachelor's degree in computer science from University of Ljubljana, Slovenia, PhD in machine learning from Carnegie Mellon University and postdoctoral training at Cornell University.


Talks


  • TBA Jure

    Keynote
    Abstract
Jure Leskovec