Juliana Freire ,
Ph.D.

  • Professor

Connect

""

Juliana Freire is a Professor of Computer Science and Data Science at New York University.  She is the elected chair of the ACM Special Interest Group on Management of Data (SIGMOD). She served as a council member of the Computing Research Association’s Computing Community Consortium (CCC), and was the NYU lead investigator for the Moore-Sloan Data Science Environment  a $32.8 million grant awarded jointly to UW, NYU, and UC Berkeley. She develops methods and systems that enable a wide range of users to obtain trustworthy insights from data. This spans topics in large-scale data analysis and integration, visualization, machine learning, provenance management, and web information discovery, and different application areas, including urban analytics, predictive modeling, and computational reproducibility. Freire has co-authored over 200 technical papers (including 11 award-winning publications), several open-source systems, and is an inventor of 12 U.S. patents. According to Google Scholar, her h-index is 60 and her work has received over 15,400 citations. She is an ACM Fellow and a recipient of an NSF CAREER, two IBM Faculty awards, and a Google Faculty Research award.  She was awarded the ACM SIGMOD Contributions Award in 2020. Her research has been funded by the National Science Foundation, DARPA, Department of Energy, National Institutes of Health, Sloan Foundation, Gordon and Betty Moore Foundation, W. M. Keck Foundation, Google, Amazon, AT&T Research, Microsoft Research, Yahoo! and IBM. She received a B.S. degree in computer science from the Federal University of Ceara (Brazil), and M.Sc. and Ph.D. degrees in computer science from the State University of New York at Stony Brook.

Research Interests: Big Data
Data analysis and visualization
Machine learning
Provenance management
Large-scale information integration
Data management
Web information discovery
Computational reproducibility
Urban analytics

State University of New York at Stony Brook, 1997
Ph.D., Computer Science


University of Utah
Associate Professor
From: July 2005 to July 2011


Affiliated Faculty, Courant Institute for Mathematical Science

Faculty, NYU Center of Data Science

 


• Google Faculty Research Award. Google, 2013.
• Best paper award. Educator program, Eurographics 2010.

• CAREER award. National Science Foundation, 2008.
• IBM Faculty Award. IBM, 2008.
• Best paper award. IEEE Visualization Conference, 2007.

 


  • ACM SIGMOD Contributions Award, 2020.
  • ACM Fellow, 2014.
  • IBM Faculty Award, 2014.
  • Google Faculty Research Award, 2013.
  • NSF CAREER award. National Science Foundation, 2008.
  • IBM Faculty Award, 2008.

 

Current Projects, Research Labs, and Groups