Jure Leskovec

From Wikipedia, the free encyclopedia
Jure Leskovec
Jure Leskovec.jpg
Alma materUniversity of Ljubljana
AwardsLagrange Prize[1]
Alfred P. Sloan Fellowship[2]
Scientific career
FieldsComputer Science
InstitutionsStanford University
ThesisDynamics of Large Networks (2008)
Doctoral advisorChristos Faloutsos[3]
Notable studentsHimabindu Lakkaraju

Jure Leskovec is a Slovenian computer scientist, entrepreneur and associate professor of Computer Science at Stanford University focusing on networks. He is the chief scientist at Pinterest.[4]

Early life and education[]

In 2004, Leskovec received a Diploma in Computer Science from the University of Ljubljana, Slovenia, researching semantic networks-based creation of abstracts, using machine learning; in 2008 he received a PhD in Computational and Statistical Learning from the Carnegie Mellon University.[citation needed]

After finishing his PhD, Leskovec worked as a postdoctoral fellow at Cornell University for a year. During this time, he was advised by Jon Kleinberg.

Research and career[]

After his postdoctoral stint at Cornell University, Leskovec joined the faculty of Stanford University as an assistant professor in the Department of Computer Science in 2009. He was promoted to associate professor with tenure in 2016.

His general research area is applied machine learning and data science for large interconnected systems. His work 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. His research finds applications in a variety of settings including commonsense reasoning, recommender systems, computational social science, and computational biology with an emphasis on drug discovery.[5]

Leskovec co-founded a startup called Kosei in 2014 which was acquired by Pinterest in 2015.[6]

Awards and honors[]

Select publications[]

  • Jon Kleinberg; Himabindu Lakkaraju; Jure Leskovec; Jens Ludwig; Sendhil Mullainathan (26' 'August' '2017). "Human Decisions and Machine Predictions". Quarterly Journal of Economics. 133 (1): 237–293. doi:10.1093/QJE/QJX032. ISSN 0033-5533. PMC 5947971. PMID 29755141. Wikidata Q54963122. Check date values in: |publication-date= (help)
  • Aditya Grover; Jure Leskovec (August' '2016). "node2vec: Scalable Feature Learning for Networks" (PDF). Proceedings of the ACM SIGKDD international conference on Knowledge discovery and data mining. 2016: 855–864. arXiv:1607.00653. doi:10.1145/2939672.2939754. ISSN 2154-817X. PMC 5108654. PMID 27853626. Wikidata Q28595865. Check date values in: |publication-date= (help)
  • Will Hamilton; Zhitao Ying; Jure Leskovec (2017). "Inductive Representation Learning on Large Graphs" (PDF). Advances in Neural Information Processing Systems 30. Advances in Neural Information Processing Systems. Wikidata Q44546984.

References[]

  1. ^ "Lagrange Prize". isi.it. Retrieved 27 April 2021.
  2. ^ "Archived copy" (PDF). Archived from the original (PDF) on 2016-05-09. Retrieved 2016-03-05.CS1 maint: archived copy as title (link)
  3. ^ Jure Leskovec at the Mathematics Genealogy Project
  4. ^ "Introducing Pinterest Labs". Medium.com. 28 February 2017. Retrieved 11 March 2019.
  5. ^ "Leskovec -- Bio".
  6. ^ "Pinterest acquires Kosei".
  7. ^ "Microsoft Research Faculty Fellowship".
  8. ^ "Press release - The 2015 CRT Foundation - Lagrange Prize awarded to Panos Ipeirotis and Jure Leskovec". Isi.it. Retrieved 11 March 2019.
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