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Juliana Freire is the Institute Professor and Co-Director of the VIDA Center at the NYU Tandon School of Engineering. She has made significant contributions to data science and engineering, focusing on large-scale data analysis, visualization, machine learning, and computational reproducibility. Freire is an ACM Fellow and AAAS Fellow, with a prolific output of approximately 250 technical papers, including multiple award-winning works. Her research has been supported by several prestigious organizations including the National Science Foundation, DARPA, and the Department of Energy. She has received multiple accolades such as the ACM SIGMOD Contributions Award and the NSF CAREER Award, underlining her leadership within the database and web research communities. She has a noteworthy h-index of 65, evidencing the impact of her work in the field. Freire completed her M.Sc. and Ph.D. degrees in Computer Science at the State University of New York at Stony Brook, and her B.S. degree in Computer Science at the Federal University of Ceara in Brazil.
NYU Tandon School of Engineering • New York, NY, USA
Leading initiatives in data science and engineering, co-directing the VIDA Center.
Department of Computer Science and Engineering, NYU • New York, NY, USA
Teaching and conducting research in data science and machine learning.
School of Computing and SCI Institute, University of Utah • Salt Lake City, UT, USA
Involved in research and teaching in computer science.
School of Computing, University of Utah • Salt Lake City, UT, USA
Focus on large-scale data systems and machine learning applications.
Administered by the Department of Electrical and Computer Engineering.