Daniel B. Neill

Professor of Computer Science and Public Service, NYU Wagner; Professor of Computer Science and Public Service, NYU Courant; Professor of Urban Analytics, NYU Center for Urban Science and Progress

105 East 17th Street
Room 375
New York, NY 10003
Daniel B. Neill

Daniel B. Neill, Ph.D., is Professor of Computer Science, Public Service, and Urban Analytics at New York University (NYU), jointly tenured at NYU's Courant Institute Department of Computer Science, Robert F. Wagner Graduate School of Public Service, and the Center for Urban Science and Progress (part of NYU's Tandon School of Engineering). He is also Affiliated Faculty at NYU's Center for Data Science and the NYU Tandon Department of Computer Science and Engineering. At NYU, he directs the Machine Learning for Good (ML4G) Laboratory and recently finished a 3-year term as co-director of the university's Urban Initiative. Dr. Neill was previously a tenured faculty member at Carnegie Mellon University’s Heinz College, where he was the Dean’s Career Development Professor, Associate Professor of Information Systems, and Director of the Event and Pattern Detection Laboratory. 

Dr. Neill's research focuses on developing novel machine learning methods for social good, with applications ranging from medicine and public health to urban analytics and fairness in criminal justice. He works closely with organizations including health departments, hospitals, and city leaders to create and deploy data-driven tools and systems to improve the quality of public health, safety, and security, for example, through the early detection of disease outbreaks. He has been the Associate Editor of six journals (IEEE Intelligent Systems, Decision Sciences, Security Informatics, ACM Transactions on Management Information Systems, INFORMS Journal on Data Science, and ACM Journal on Computing and Sustainable Societies). He was the recipient of an NSF CAREER award and an NSF Graduate Research Fellowship, and was named one of the "top ten artificial intelligence researchers to watch" by IEEE Intelligent Systems. He received his M.Phil. from Cambridge University and his M.S. and Ph.D. in Computer Science from Carnegie Mellon University.

Please see Dr. Neill's personal webpage (http://www.cs.nyu.edu/~neill) for more information.