Presenter
Jure Leskovec
Biography
Jure Leskovec is an associate professor of computer science at Stanford University and a member of Stanford's InfoLab and AI lab, and an investigator in the Chan Zuckerberg Biohub Network, where he focuses on developing new methods for analysis of biomedical data.
Jure's general research area is applied machine learning and data science for large interconnected systems, with a focus on modeling complex, richly-labeled relational structures, graphs, and networks for systems at all scales. Applications include commonsense reasoning, recommender systems, computational social science, and computational biology with an emphasis on drug discovery.
Jure's research has won a Lagrange Prize, a Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, Best Paper and Test of Time awards, and New York Times and Wall Street Journal features. He received his bachelor's degree in computer science from University of Ljubljana, his PhD in ML from Carnegie Mellon University, and a Cornell University postdoc.
Jure's general research area is applied machine learning and data science for large interconnected systems, with a focus on modeling complex, richly-labeled relational structures, graphs, and networks for systems at all scales. Applications include commonsense reasoning, recommender systems, computational social science, and computational biology with an emphasis on drug discovery.
Jure's research has won a Lagrange Prize, a Microsoft Research Faculty Fellowship, the Alfred P. Sloan Fellowship, Best Paper and Test of Time awards, and New York Times and Wall Street Journal features. He received his bachelor's degree in computer science from University of Ljubljana, his PhD in ML from Carnegie Mellon University, and a Cornell University postdoc.
Presentations