Daniel Neill
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Associate Professor of Computer Science, Public Service, and Urban Analytics
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About
Daniel Neill is an Associate Professor of Computer Science, Public Service, and Urban Analytics at New York University, United States. His research focuses on user engagement in health informatics, predictive modeling for public health, and spatial pattern detection methodologies. Recent articles include work on overdose prevention mapping, optimization of statistical methods, and improving surveillance for public health threats.
Recent Grants
Grant: Close
CAREER: Machine Learning and Event Detection for the Public Good
Open Date: 2010-07-01
Close Date: 2015-06-30
Grant: Close
III: Large: Discovering Complex Anomalous Patterns
Open Date: 2009-09-01
Close Date: 2014-08-31
Grant: Close
III: Small: Fast Subset Scan for Anomalous Pattern Detection
Open Date: 2009-08-01
Close Date: 2013-07-31
Articles (4)
Year:
2025
Year:
2023
Year:
2022
Year:
2021
Collaborators (2)
Jennifer Ahern
University of California
Jesse Yedinak Gray
Brown University
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