Daniel Neill

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Associate Professor of Computer Science, Public Service, and Urban Analytics

New York University
Country flagUnited States

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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

UNITED STATES
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Jesse Yedinak Gray

Brown University

UNITED STATES
View details
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