Prof. Rachel Greenstadt — 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. Rachel Greenstadt at New York University Department of Computer Science and Engineering (Tandon School of Engineering) lists Computer Science, Artificial Intelligence, Cybersecurity, Privacy as their registered research area.
Research keywords
Recent papers
- "We'll Fix It Later": Education, AI, and the Deferral of Privacy in EdTechPreprintarXiv (Cornell University) · Sep 23
- Large-Scale Analysis of Persuasive Content on MoltbookPreprintarXiv (Cornell University) · Mar 18
- When Agents Persuade: Rhetoric Generation and Mitigation in LLMsPreprintarXiv (Cornell University) · Mar 4
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
Shared topic: Misinformation and Its Impacts
Marzyeh Ghassemi Lab
Massachusetts Institute of Technology · Department of Electrical Engineering and Computer Science
Assessing the limitations of in-app interventions in addressing LLM-generated health misinformationMachine Learning Health · Sep 8Dan Goldwasser Lab
Purdue University · Department of Computer Science
GRID: Modeling Health Influencer Discourse as Argument Networks for Credibility AssessmentPreprintarXiv (Cornell University) · Oct 19Tsachy Weissman Lab
Stanford University · Electrical Engineering
Forecasting the Growth of Social Media Information Cascades: Towards Human-in-the-Loop Misinformation TriagePreprintarXiv (Cornell University) · Oct 5
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