Daniel B. Neill
Professor of Public Service and Computer Science
Develops machine learning methods for event and pattern detection, applied to public health surveillance, urban systems and algorithmic fairness.
Daniel B. Neill's lab at NYU works on time series, anomaly & spatio-temporal data and recognition, detection & segmentation. 23 papers since 2023, 2 at top venues, mostly JMLR and TMLR. 4 PhD students and 5 master's students. 38 alumni, most often to Microsoft and Uber. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 9%
- PhD students
- 4
- MS students
- 5
- alumni listed
- 38
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 1 · collecting
- 9 papers2025 · T1 0
- 2 papers2024 · T1 0
- 7 papers2023 · T1 1
T1 venuesOtherVenues: JMLR, TMLR
Research focuspaper titles that use each topic's words
- Time series, anomaly & spatio-temporal data6 papers
- Recognition, detection & segmentation1 paper
- event0 papers
- surveillance0 papers
- algorithmic fairness0 papers
Paper list
From the lab homepage.
20265 papers
- Proc. Conference on Language ModelingAttribution bias in large language models
- TMLR (T1)Auditing predictive models for intersectional biases
- Methodology and Computing in Applied ProbabilityFlexibly incorporating prior information into subset scan statistics
- EpidemiologyIdentifying demographic predictors of increased non-fatal opioid overdose risk among New York State Medicaid enrollees following the COVID-19 pandemic: an analysis of heterogeneous treatment effects
- Encyclopedia of Social Network Analysis and Mining, ed.In R. Alhajj and J. Rokne, eds.,
20259 papers
- Frontiers in Big DataAchieving health equity in immune disease: leveraging big data and artificial intelligence in an evolving health system landscape
- Journal of Public Health Management and PracticeAssessing user engagement with an interactive mapping dashboard for overdose prevention informed by predictive modeling in Rhode Island
- Proc. ACM Conference on Equity and Access in Algorithms, Mechanisms, and OptimizationBe intentional about fairness!: Fairness, size, and multiplicity in the Rashomon set
- Annals of Applied StatisticsEstimating reporting bias in 311 complaint data
- Preventive MedicineEvaluating the predictive performance of different data sources to forecast overdose deaths at the neighborhood level with machine learning in Rhode Island
- Current Epidemiology ReportsIntegrating artificial intelligence into causal research in epidemiology
- American Journal of EpidemiologyInvestigating heterogeneous effects of an expanded methadone access policy with opioid treatment program retention: A Rhode Island population-based retrospective cohort study
- Proc. ACM Conference on Equity and Access in Algorithms, Mechanisms, and OptimizationRealizing the promises of algorithmic recourse through reliability, accessibility, and fairness principles
- Milbank QuarterlyStemming the tide of the U.S. overdose crisis: how can we leverage the power of data science and artificial intelligence?
20242 papers
- Health AffairsHousing-sensitive health conditions can predict poor-quality housing
- EpidemiologyPROVIDENT: Development and validation of a machine learning model to predict neighborhood-level overdose risk in Rhode Island
20237 papers
- Proc. AAAI Conf. on Artificial IntelligenceDetecting anomalous networks of opioid prescribers and dispensers in prescription drug data
- Journal of Computational and Graphical StatisticsEfficient optimization of partition scan statistics via the Consecutive Partitions Property
- JMLR (T1)Exploiting discovered regression discontinuities to debias conditioned-on-observable estimators
- Journal of Urban HealthNeighborhood-level risk factors for severe hyperglycemia among Emergency Department patients without a prior diabetes diagnosis
- Proc. Intl. Conf. on Artificial Intelligence and StatisticsPositional encoder graph neural networks for geographic data
- Proc. AAAI Conf. on Artificial IntelligenceProvable detection of propagating sampling bias in prediction models
- American Journal of EpidemiologyTranslating predictive analytics for public health practice: a case study of overdose prevention in Rhode Island
Where alumni went38 listed, 36% to industry
Industry 12Academia 21
Most often to
- Microsoft
- Uber
- Amazon
Also to
- NYU
- Columbia University
- High school student
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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