Ph.D., Machine Learning @
Carnegie Mellon University
About:
Ph.D. in Machine Learning,
Machine Learning Department,
School of Computer Science,
Carnegie Mellon University, Pittsburgh, PA.
Data mining and machine learning, with emphasis on mining and modeling large networks, link analysis and text mining.
Chief Scientist @ From 2015 to Present (less than a year) Assistant Professor @ Assistant Professor in Computer Science Department at Stanford University. I
Ph.D. in Machine Learning,
Machine Learning Department,
School of Computer Science,
Carnegie Mellon University, Pittsburgh, PA.
Data mining and machine learning, with emphasis on mining and modeling large networks, link analysis and text mining.
Chief Scientist @ From 2015 to Present (less than a year) Assistant Professor @ Assistant Professor in Computer Science Department at Stanford University. I focus on large scale data mining and machine learning applied to social networks and social media.
I am a member of the AI and InfoLab. From September 2009 to Present (6 years 4 months) Co-founder @ Smarter, personalized mobile ads. Acquired by Pinterest. From 2014 to 2015 (1 year) Post-doc @ From September 2008 to September 2009 (1 year 1 month) PhD in Machine Learning @ From August 2004 to September 2008 (4 years 2 months) Intern @ Worked with Ravi Kumar and Andrew Tomkins on microscopic evolution of social networks. From May 2007 to August 2007 (4 months) Intern @ Worked with Eric Horvitz and Susan Dumais on web search query modeling, and the dynamics of a instant messenger network of 240 million people. From May 2006 to August 2006 (4 months) Intern @ Worked with Bernardo Huberman and Lada Adamic on the dynamics of person-to-person product recommendations in a large social network. From June 2005 to August 2005 (3 months) Researcher @ Research projects on: machine learning, data mining, text and web mining large graphs and networks, applications of machine learning and data mining. From May 1997 to August 2004 (7 years 4 months) Visiting scholar @ Worked with Christos Faloutsos on problems posed by large graphs. From June 2003 to August 2003 (3 months) Intern @ With John Shawe-Taylor on text classification on uneven training datasets. From June 2002 to August 2002 (3 months) Intern @ With Natasa Milic-Frayling on web browser user navigation and search. From June 2001 to September 2001 (4 months)
Postdoc, Computer Science @ Cornell University From 2008 to 2009 Ph.D., Machine Learning @ Carnegie Mellon University From 2004 to 2008 Diploma [B.Sc.], Computer Science @ University of Ljubljana From 1999 to 2004 Gimnazija Bezigrad Jure Leskovec is skilled in: Machine Learning, Artificial Intelligence, Data Mining, Social Networking, Text Mining, Search, Social Network Analysis, Computer Science, Text Classification, Link Analysis, Natural Language Processing, Network Science, Algorithms, Information Retrieval