Frederick Warner, PhD
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Cardiovascular Medicine
Primary
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Associate Research Scientist
Biography
Frederick Warner, PhD, is an Associate Research Scientist at the Yale School of Medicine and a member of the Center for Outcomes Research and Evaluation (CORE). His interests include statistical and machine learning, applied and computational harmonic analysis, and financial mathematics. Prior to joining Yale-CORE, Dr. Warner was a Research Scientist at Plain Sight Systems, Inc. and a Senior Research Scientist and Lecturer in the Department of Mathematics at Yale.
Appointments
Cardiovascular Medicine
Associate Research ScientistPrimary
Other Departments & Organizations
Education & Training
- PhD
- Yale University, Mathematics (1992)
Research
Research at a Glance
Yale Co-Authors
Frequent collaborators of Frederick Warner's published research.
Publications Timeline
A big-picture view of Frederick Warner's research output by year.
Ronald Coifman, PhD
Andreas Coppi
Akiko Iwasaki, PhD
Harlan Krumholz, MD, SM
Mitsuaki Sawano, MD, PhD
Yuan Lu, ScD
9Publications
1,591Citations
Publications
2024
Excess Cardiovascular Mortality Among Black Americans 2000-2022: A JACC Report Card
Arun A, Sawano M, Lu Y, Warner F, Caraballo C, Khera R, Echols M, Yancy C, Krumholz H. Excess Cardiovascular Mortality Among Black Americans 2000-2022: A JACC Report Card. Journal Of The American College Of Cardiology 2024 PMID: 38901531, DOI: 10.1016/j.jacc.2024.06.004.Peer-Reviewed Original ResearchAltmetricLong COVID Characteristics and Experience: A Descriptive Study from the Yale LISTEN Research Cohort
Sawano M, Wu Y, Shah R, Zhou T, Arun A, Khosla P, Kaleem S, Vashist A, Bhattacharjee B, Ding Q, Lu Y, Caraballo C, Warner F, Huang C, Herrin J, Putrino D, Michelsen T, Fisher L, Adinig C, Iwasaki A, Krumholz H. Long COVID Characteristics and Experience: A Descriptive Study from the Yale LISTEN Research Cohort. The American Journal Of Medicine 2024 PMID: 38663793, DOI: 10.1016/j.amjmed.2024.04.015.Peer-Reviewed Original ResearchAltmetricConceptsExperiences of peopleHealth statusLong COVIDLower health statusNew-onset conditionsCommunity support servicesNon-Hispanic whitesArray of healthQuality of lifeVisual analogue scaleMental healthPsychological distressPsychological statusDescriptive studyHealthcare systemMedian scoreSupport servicesResearch cohortSocial isolationDemographic characteristicsAnalogue scaleImpact of long COVIDHealthFinancial stressParticipants
2022
Association between primary or booster COVID-19 mRNA vaccination and Omicron lineage BA.1 SARS-CoV-2 infection in people with a prior SARS-CoV-2 infection: A test-negative case–control analysis
Lind M, Robertson A, Silva J, Warner F, Coppi A, Price N, Duckwall C, Sosensky P, Di Giuseppe E, Borg R, Fofana M, Ranzani O, Dean N, Andrews J, Croda J, Iwasaki A, Cummings D, Ko A, Hitchings M, Schulz W. Association between primary or booster COVID-19 mRNA vaccination and Omicron lineage BA.1 SARS-CoV-2 infection in people with a prior SARS-CoV-2 infection: A test-negative case–control analysis. PLOS Medicine 2022, 19: e1004136. PMID: 36454733, PMCID: PMC9714718, DOI: 10.1371/journal.pmed.1004136.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSARS-CoV-2 infectionBooster vaccinationPrior infectionOmicron infectionPrimary vaccinationMRNA vaccinationOdds ratioAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionPrior SARS-CoV-2 infectionTest-negative case-control analysisYale New Haven Health SystemTest-negative case-control studyCOVID-19 mRNA vaccinationSyndrome coronavirus 2 infectionOmicron variant infectionPrior infection statusCoronavirus 2 infectionCase-control studyCase-control analysisOdds of infectionRisk of infectionRace/ethnicityBooster dosesDate of test
2010
Diffusion Geometry Based Nonlinear Methods for Hyperspectral Change Detection
Coifman R, Coppi A, Hirn M, Warner F. Diffusion Geometry Based Nonlinear Methods for Hyperspectral Change Detection. 2010 DOI: 10.21236/ada524546.Peer-Reviewed Original ResearchCitationsConceptsSignal processing algorithmsChange detectionNonlinear signal processing algorithmsHyperspectral Change DetectionGroups of featuresProcessing algorithmsSpatio-spectral featuresProcessing toolboxSegmentation methodologyFeature spaceInvariant featuresSpectral signaturesHyperspectral imagesAnomaly assessmentTarget detectionDifferent conditionsDiffusion geometryTerms of similarityNonlinear methodsSceneGeometry
2006
Geometries of sensor outputs, inference, and information processing
Coifman R, Lafon S, Maggioni M, Keller Y, Szlam A, Warner F, Zucker S. Geometries of sensor outputs, inference, and information processing. Proceedings Of SPIE--the International Society For Optical Engineering 2006, 6232: 623209-623209-10. DOI: 10.1117/12.669723.Peer-Reviewed Original ResearchCitationsHyperspectral microscopic analysis of normal, benign and carcinoma microarray tissue sections
Maggioni M, Davis G, Warner F, Geshwind F, Coppi A, DeVerse R, Coifman R. Hyperspectral microscopic analysis of normal, benign and carcinoma microarray tissue sections. Proceedings Of SPIE--the International Society For Optical Engineering 2006, 6091: 60910i-60910i-9. DOI: 10.1117/12.646078.Peer-Reviewed Original ResearchCitationsQEEG-Based Classification with Wavelet Packet and Microstate Features for Triage Applications in the ER
Prichep L, Causevic E, Coifman R, Isenhart R, Jacquin A, John E, Maggioni M, Warner F. QEEG-Based Classification with Wavelet Packet and Microstate Features for Triage Applications in the ER. 2006, 3: iii - 1136-iii - 1139. DOI: 10.1109/icassp.2006.1660859.Peer-Reviewed Original ResearchCitations
2005
Geometric diffusions as a tool for harmonic analysis and structure definition of data: Multiscale methods
Coifman RR, Lafon S, Lee AB, Maggioni M, Nadler B, Warner F, Zucker SW. Geometric diffusions as a tool for harmonic analysis and structure definition of data: Multiscale methods. Proceedings Of The National Academy Of Sciences Of The United States Of America 2005, 102: 7432-7437. PMID: 15899969, PMCID: PMC1140426, DOI: 10.1073/pnas.0500896102.Peer-Reviewed Original ResearchCitationsAltmetricConceptsMarkov matrixMacroscopic descriptionGeometric diffusionMultiscale methodDiffusion semigroupsScaling functionsMultiscale natureNewtonian paradigmHarmonic analysisN algorithmMultiscale analysisComplex structureHeterogeneous structureGeometric organizationSemigroupsData representationMatrixSystem leadCompanion articleDifferent scalesGeneralizationGraphDescriptionAlgorithmProblemGeometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps
Coifman RR, Lafon S, Lee AB, Maggioni M, Nadler B, Warner F, Zucker SW. Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps. Proceedings Of The National Academy Of Sciences Of The United States Of America 2005, 102: 7426-7431. PMID: 15899970, PMCID: PMC1140422, DOI: 10.1073/pnas.0500334102.Peer-Reviewed Original ResearchCitationsAltmetricConceptsMarkov matrixMacroscopic descriptionGeometric diffusionMultiscale geometryDiffusion semigroupsNewtonian paradigmHarmonic analysisDiffusion mapsUnified viewNumerical analysisComplex structureLocal transitionsGeometric organizationEigenfunctionsSemigroupsMachine learningMatrixSystem leadGeneralizationDifferent scalesGraphDescriptionData analysisGeometryTransition