Faculty

Institution

Unit

Venue

Daniel Neill

Associate Professor

New York University

Affiliations

Arts & Science

Computer Science

Tandon School of Engineering

Center for Urban Science and Progress

Computer Science and Engineering

Courant Institute of Mathematical Sciences

Computer Science

NYU Abu Dhabi

Division of Science

Daniel Neill is currently serving as an Arts & Science Associate Professor at New York University.

Honors

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Experiences

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Education

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Daniel Neill

New York University

Associate Professor

You can click a keyword to filter the displayed items

data science public health machine learning statistics epidemiology data mining spatial analysis disease surveillance knowledge discovery computational statistics pattern recognition bayesian analysis machine learning research statistical methodology artificial intelligence applied statistics clustering disease detection health information science computational epidemiology drug overdose health technology spatial statistical analysis bioinformatics computational intelligence anomaly detection opioid overdose information visualization graph analysis anomalous pattern detection disease outbreaks bayesian inference gaussian analysis gaussian process public health surveillance respiratory medicine information fusion opioid epidemic graph processing disease mapping pattern discovery spatiotemporal organization emerging risk multidimensional analysis crime forecasting bayesian network urban health outbreak detection non-parametric scan statistics medicinal research information technology neuroinformatics cancer biology health geography spatial science space-time clusters spatial pattern detection non-iid data subset scanning cellular therapy cancer care theoretical biology cluster science cancer treatment cancer management classification method detection technique data heterogeneity subset scan spatial scan statistics spatio-temporal clusters multivariate event detection anomalous patterns connectivity constraints bayesian scan statistics spatial clusters causal inference computer science applied artificial intelligence event detection criminal justice algorithmic fairness ethics of artificial intelligence responsible ai pattern detection

Notable Scholarly Works

Notable Federal Grants

Collaborators

Assessing User Engagement With an Interactive Mapping Dashboard for Overdose Prevention Informed by Predictive Modeling in Rhode Island. Journal of Public Health Management and Practice (2025)

health policypublic healthrhode islandoverdose prevention informeddigital healthhealth informaticsaddiction medicinedata and information visualizationhealth planningharm reductionopioid overdosedrug overdoseinteractive mapping dashboard

Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set. arXiv (Cornell University) (2025)

lawphilosophydisparate impactbiasrashomon setsocial sciencesfairnessalgorithmic fairnessbe intentionalsocial choice

Estimating Reporting Bias in 311 Complaint Data. The Annals of Applied Statistics (2025)

bias detectioncomplaint datastatistical methodologyselection biasfrauddisparate impactbiassurvey methodologybehavioral researchfairnessscientific dataanalyticsstatistics

Evaluating the Predictive Performance of Different Data Sources to Forecast Overdose Deaths at the Neighborhood Level With Machine Learning in Rhode Island. Preventive Medicine (2025)

mortalitypublic healthrhode islandpredictive analyticsneighborhood levelpredictive modelingmachine learningmachine learning researchdata sciencepredictive toxicologydigital medicinedrug overdoseprediction modellingstatistics

Integrating Artificial Intelligence Into Causal Research in Epidemiology. Current Epidemiology Reports (2025)

artificial intelligencecausal inferencepublic healthepidemiologyhealth informaticsepidemiological principleclinical epidemiologycausal reasoningcomputational epidemiologypublic health preparedness

Investigating Heterogeneous Effects of an Expanded Methadone Access Policy With Opioid Treatment Program Retention: A Rhode Island Population-Based Retrospective Cohort Study. American Journal of Epidemiology (2025)

health policypublic healthhealth services researchsubstance use disordersopioid epidemicaddiction medicineaddiction health service researchsubstance useaddiction treatmentaddictionopioid use disorderheterogeneous effects

Opioid Treatment Program Retention: A Rhode Island Population-Based Retrospective Cohort Study. American Journal of Epidemiology (2025)

health policypublic healthhealth services researchsubstance use disordersopioid epidemicaddiction medicineaddiction health service researchsubstance useharm reductionoutcomes researchaddictionsubstance abuseopioid use disorder

Stemming the Tide of the Us Overdose Crisis: How Can We Leverage the Power of Data Science and Artificial Intelligence?. Milbank Quarterly (2025)

artificial intelligencepublic healthdata literacyus overdose crisisresponsible aidrug intelligencehealth information sciencedata sciencescientific datadigital medicinedrug overdosedata-driven innovationsanalytics

Housing-Sensitive Health Conditions Can Predict Poor-Quality Housing. Health Affairs (2024)

Ougni ChakrabortyKacie L. DraganIngrid Gould EllenSherry A. GliedRenata E. HowlandDaniel B. NeillScarlett Wang

health policypublic healthsocial scienceshousinghousing-sensitive health conditionspoor-quality housingurban health

PROVIDENT: Development and Validation of a Machine Learning Model to Predict Neighborhood-Level Overdose Risk in Rhode Island. Epidemiology (2024)

Bennett AllenRobert C. SchellVictoria A. JentMaxwell KriegerClaire PrattyBenjamin D. HallowellWilliam C. GoedelMelissa BastaJesse L. YedinakYu LiAbigail R. CartusBrandon D. L. MarshallMagdalena CerdáJennifer AhernDaniel B. Neill

mental healthpublic healthrhode islandepidemiologypredictive analyticsinfectious diseasesopioid epidemicneighborhood-level overdose riskrespiratory medicineaddictiondisaster risk sciencecrime forecastingsubstance abusecomputational epidemiologyopioid overdoseurban healthmachine learning

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Daniel Neill

Associate Professor

New York University

Affiliations

Arts & Science

Computer Science

Tandon School of Engineering

Center for Urban Science and Progress

Computer Science and Engineering

Courant Institute of Mathematical Sciences

Computer Science

NYU Abu Dhabi

Division of Science

Daniel Neill is currently serving as an Arts & Science Associate Professor at New York University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Daniel Neill

New York University

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Assessing User Engagement With an Interactive Mapping Dashboard for Overdose Prevention Informed by Predictive Modeling in Rhode Island. Journal of Public Health Management and Practice (2025)

Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set. arXiv (Cornell University) (2025)

lawphilosophydisparate impactbiasrashomon setsocial sciencesfairnessalgorithmic fairnessbe intentionalsocial choice

Estimating Reporting Bias in 311 Complaint Data. The Annals of Applied Statistics (2025)

bias detectioncomplaint datastatistical methodologyselection biasfrauddisparate impactbiassurvey methodologybehavioral researchfairnessscientific dataanalyticsstatistics

Evaluating the Predictive Performance of Different Data Sources to Forecast Overdose Deaths at the Neighborhood Level With Machine Learning in Rhode Island. Preventive Medicine (2025)

Integrating Artificial Intelligence Into Causal Research in Epidemiology. Current Epidemiology Reports (2025)

artificial intelligencecausal inferencepublic healthepidemiologyhealth informaticsepidemiological principleclinical epidemiologycausal reasoningcomputational epidemiologypublic health preparedness

Opioid Treatment Program Retention: A Rhode Island Population-Based Retrospective Cohort Study. American Journal of Epidemiology (2025)

Stemming the Tide of the Us Overdose Crisis: How Can We Leverage the Power of Data Science and Artificial Intelligence?. Milbank Quarterly (2025)

Housing-Sensitive Health Conditions Can Predict Poor-Quality Housing. Health Affairs (2024)

Ougni ChakrabortyKacie L. DraganIngrid Gould EllenSherry A. GliedRenata E. HowlandDaniel B. NeillScarlett Wang

health policypublic healthsocial scienceshousinghousing-sensitive health conditionspoor-quality housingurban health

PROVIDENT: Development and Validation of a Machine Learning Model to Predict Neighborhood-Level Overdose Risk in Rhode Island. Epidemiology (2024)

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