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Daniel B. Neill is a Professor at the NYU Tandon School of Engineering and a Public Service Professor of Urban Analytics. His research focuses on utilizing machine learning techniques for social good, emphasizing fair and responsible AI applications. He has extensively studied urban systems and population health, examining various methodologies such as event pattern detection and causal inference. Neill is also involved with the Center for Urban Science and Progress (CUSP), an interdisciplinary research center that integrates science and technology in addressing urban challenges. His contributions have been recognized at various academic conferences, including the Urban AI Symposium, where he collaborates with global experts to advance knowledge in urban analytics.
New York University Tandon School of Engineering • Brooklyn, NY
Teaching courses in Computer Science and engaging in research related to urban analytics and machine learning.
Administered by the Department of Electrical and Computer Engineering.