Juliana Freire

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Juliana Freire
Alma materStony Brook University
Known forCo-developer of VisTrails
Spouse(s)Claudio Silva
AwardsACM Fellow
Scientific career
Fieldsdata management
scientific visualization
data science
InstitutionsBell Laboratories
Oregon Health & Science University
University of Utah
Scientific Computing and Imaging Institute
New York University
ThesisScheduling Strategies for Evaluation of Recursive Queries over Memory and Disk-Resident Data (1997)
Doctoral advisorDavid S. Warren

Juliana Freire de Lima e Silva is a Brazilian computer scientist who works as a professor of computer science and engineering at the New York University Polytechnic School of Engineering.[1] She is known for her research in information visualization, data provenance, and computerized assistance for scientific reproducibility.[2]

Freire did her undergraduate studies at the Federal University of Ceará in Brazil, and earned her doctorate from Stony Brook University. Prior to joining NYU-Poly in 2011, she was a researcher at Bell Laboratories, and a faculty member at the Oregon Health & Science University and the University of Utah.[1]

Freire's research projects include the VisTrails scientific workflow management system,[3][4] and the DeepPeep search engine for web database content.[5]

Freire was the program co-chair of the WWW2010 conference.[6] In 2014, Freire was elected as a Fellow of the Association for Computing Machinery "for contributions to provenance management research and technology, and computational reproducibility."[2][3]

References[]

  1. ^ Jump up to: a b "Juliana Freire", Cable: The Alumni Magazine of NYU Polytechnic School of Engineering, 2011, archived from the original on 2018-05-01, retrieved 2015-06-12.
  2. ^ Jump up to: a b ACM Fellow award citation: Juliana Freire, Association for Computing Machinery, 2014, retrieved 2015-06-12.
  3. ^ Jump up to: a b NYU Polytechnic School of Engineering Professor Honored for Pioneering Work on Provenance Research: Juliana Freire Is Named a Fellow of the Association for Computing Machinery, New York University Polytechnic School of Engineering, January 12, 2015, retrieved 2015-06-12.
  4. ^ Cruikshank, Dana W.; Zemankova, Maria (March 3, 2009), A New Vision for Scientific Visualizations, National Science Foundation, retrieved 2015-06-12.
  5. ^ Wright, Alex (February 22, 2009), "Exploring a 'Deep Web' That Google Can't Grasp", New York Times.
  6. ^ WWW2010, accessed 2015-06-12.

External links[]

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