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Publication
Support vector subset scan for spatial pattern detectionDiscovery of localized and irregularly shaped anomalous patterns in spatial data provides useful context for operational decisions across many policy domains. The support vector subset scan (SVSS) integrates the penalized fast subset scan with a …
Publication
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs… power for subtle signals, and low precision of the detected subgraph even for stronger signals. Thus we develop … graphs, with substantial improvement in the accuracy of detected subgraphs. Extensive experiments on both …
Course
PADM-GP.4148
Large Scale Data Analysis with Machine Learning IIThe past decade has seen the increasing availability of very large scale data sets, arising from the rapid growth of transformative technologies such as the Internet and cellular telephones, along with the development of new and powerful computational …Faculty Profile
Vadim GordinVadim Gordin is a healthcare investor, founder, and community builder. He is currently the managing partner of Founding.Health, a new venture studio creating human and economic impact in care delivery and operations. Previously, Vadim was the Associate …
Faculty Profile
Daniel B. NeillDaniel 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 …
Capstone Projects
Improving Detection and Management of Depression in Primary CareDepression is a serious medical illness that is pervasive throughout our population. It is evident that if depression is left undetected and/or untreated, an increasing disease burden will manifest, resulting in serious adverse health outcomes. The …
Capstone Projects
Improving Detection and Management of Depression in Primary CareDepression is a serious medical illness that is pervasive throughout our population. It is evident that if depression is left undetected and/or untreated, an increasing disease burden will manifest, resulting in serious adverse health outcomes. The …
Publication
Provable detection of propagating sampling bias in prediction modelsPavan Ravishankar, Qingyu Mo, Edward McFowland III, and Daniel B. Neill …
Publication
Support vector subset scan for spatial pattern detectionD. J. Fitzpatrick, Y. Ni, and D. B. Neill …
Publication
Calibrated nonparametric scan statistics for anomalous pattern detection in graphsChunpai Wang, Daniel B. Neill, and Feng Chen …
Publication
Presyndromic surveillance for improved detection of emerging public health threatsMallory Nobles, Ramona Lall, Robert W. Mathes, and Daniel B. Neill …
Course
PADM-GP.4147
Large Scale Data Analysis with Machine Learning IThe past decade has seen the increasing availability of very large scale data sets, arising from the rapid growth of transformative technologies such as the Internet and cellular telephones, along with the development of new and powerful computational …Publication
Detecting anomalous networks of opioid prescribers and dispensers in prescription drug dataKatie Rosman and Daniel B. Neill …
Publication
Pre-syndromic surveillance for improved detection of emerging public health threats.M. Nobles, R. Lall, R. Mathes and D. B. Neill …
Publication
Using Mixture Models to Detect Sex Bias in Health Outcomes in BangladeshMany interesting economic hypotheses entail differences in behaviors of groups within a population, but analyses of pooled samples shed only partial light on underlying segmentations. Finite mixture models are considered as an alternative to methods based …
Publication
Efficient discovery of heterogeneous treatment effects in randomized experiments via anomalous pattern detectionEdward McFowland III, Sriram Somanchi, and Daniel B. Neill …
News
Biothreat detection system co-designed by Prof. Daniel B. Neill garners DHS prizeNYU Wagner Associate Professor of Computer Science and Public Service Daniel B. Neill is the co-recipient of a $50,000 runner-up prize given by the Department of Homeland Security (DHS) Science and Technology Directorate (S&T) for the design an early …
Publication
Efficient discovery of heterogeneous treat- ment effects in randomized experiments via anomalous pattern detection.E. McFowland III, S. Somanchi and D. B. Neill …
Publication
AI-enabled public health surveillance: from local detection to global epidemic monitoring and controlD. Zeng, Z. Cao, and D. B. Neill …
Faculty Profile
Robert LieberthalDr. Rob Lieberthal is a results-driven health economist and strategic advisor with a proven record of helping healthcare organizations, life science companies, and public agencies solve complex challenges and achieve measurable improvements in outcomes …
Publication
Development and Validation of a Brief Pediatric Screen for Asthma and Allergies Among ChildrenBackground: Asthma is the most common disease of childhood, but the recognition and detection remain poor, especially among schoolchildren. There has been an increase in the number of instruments available to detect the risk of asthma earlier in children. …
News
Four NYU Wagner Alumni Named 2025 Manhattan Power 100Manhattan is arguably the hub of New York City, and four NYU Wagner alumni have been recognized among City & State’s 2025 Manhattan Power 100 for their places at the heart of it all. 50. Natalia Cineas (MS 2009) and Julian John (MPA 2002); Executives, …
Publication
Test–retest reliability of a self-administered Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) in primary care patientsThe time required to conduct drug and alcohol screening has been a major barrier to its implementation in mainstream healthcare settings. Because patient self-administered tools are potentially more efficient, we translated the Alcohol, Smoking and …