Prof. Juliana Freire — Research Profile
Graduate application deadlines
Department of Computer Science and Engineering (Tandon School of Engineering)
MS in Computer Science
Fall 2027Priority deadline
Dec 1, 2026
Application deadline
Feb 15, 2027
No year on the page — check the original to confirm these dates are for this cycle.
Source: engineering.nyu.eduChecked Nov 2, 2026PhD in Computer Science (unified Courant–Tandon program)
Fall 2027Application deadline
Dec 12, 2026
No year on the page — check the original to confirm these dates are for this cycle.
Source: cs.nyu.eduChecked Nov 2, 2026
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Prof. Juliana Freire at New York University Department of Computer Science and Engineering (Tandon School of Engineering) lists data management, analytics, visualization, data science & engineering, applied machine learning, provenance management, AI for science, urban analytics, computational reproducibility, biomedical data harmonization as their registered research area.
Research keywords
Recent papers
- Interoperability in Healthcare: A Primer and New FrontiersProceedings of the VLDB Endowment · Aug 1
- Semantic Data Systems: From Data Management to Data UnderstandingProceedings of the VLDB Endowment · Aug 1
- UrbanTrace: LLM-Assisted Discovery and Semantics-Aware Integration of Spatial DataPreprintarXiv (Cornell University) · Jul 27
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Julian McAuley Lab
University of California, San Diego · Department of Computer Science and Engineering
SPRINT: Single-Step Generative Recommendation via Average Probability VelocityPreprintarXiv (Cornell University) · Sep 28Shared topic: Topic Modeling
Sanmi Koyejo Lab
Stanford University · Computer Science
How Strong Is the Evidence for the Artificial Hivemind? Reevaluating Evidence for the Open-Ended Homogeneity of Language ModelsPreprintarXiv (Cornell University) · Sep 27Shared topic: Topic Modeling
Benjamin Eysenbach Lab
Princeton University · Computer Science
Three Steps at a Time: Learning Representations from Action Sequences in Contrastive RLPreprintarXiv (Cornell University) · Aug 31Shared topic: Machine Learning and Algorithms
Other labs in this department
- Aaron Bernstein Lab
Theoretical Computer Science, Design and Analysis of Algorithms, Graph Algorithms, Dynamic Algorithms, Sublinear Algorithms, Approximation Algorithms
- Ainesh Bakshi Lab
Algorithms, Quantum Information, Learning Theory, Linear Algebra
- Boris Aronov Lab
Computational Geometry, Discrete and Combinatorial Geometry, Algorithms
- Chinmay Hegde Lab
Machine Learning, Algorithms, Big Data, Signal and Image Processing
- Christopher Musco Lab
Scalable machine learning, foundations of data science, numerical linear algebra, theory of algorithms, randomized algorithms, sketching and streaming
- Claudio Silva Lab
Visualization and Graphics, Geometric Computing, Data Science, Urban Computing, Sports Analytics