Dong Gao, PhD, MS, BS
Associate Research Scientist (Environmental Health)Cards
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Associate Research Scientist (Environmental Health)
Biography
Dr. Dong Gao earned her M.S. in Computational Science and Engineering and Ph.D in Environmental Engineering from Georgia Institute of Technology in 2019. In January 2020, she joined Dr. Krystal Pollitt's lab at Yale School of Public Health as a postdoctoral associate. Her research focuses on air quality monitoring and modeling, quantifying the oxidative potential of ambient particulate matter (PM), and investigating adverse health effects of air pollutants.
Last Updated on April 07, 2025.
Appointments
Environmental Health Sciences
Associate Research ScientistPrimary
Other Departments & Organizations
Education & Training
- PhD
- Georgia Institute of Technology, Environmental Engineering (2019)
- MS
- Georgia Institute of Technology, Computational Science & Engineering (2019)
- BS
- Sun Yat-sen University, Environmental Engineering (2014)
Research
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Research at a Glance
Yale Co-Authors
Frequent collaborators of Dong Gao's published research.
Krystal Pollitt, PhD, P.Eng.
Jeremy P. Koelmel
Brian Leaderer, MPH, PhD
Carrie A Redlich, MD, MPH, BA
Jodi Sherman, MD
Jordan Peccia, PhD
Publications
2026
Measuring the exposome: a practical guide for using wearable passive samplers to assess environmental influences
Okeme J, Lin E, Koelmel J, Guo A, Gao D, Pollitt K. Measuring the exposome: a practical guide for using wearable passive samplers to assess environmental influences. Exposome 2026, 6: osag002. DOI: 10.1093/exposome/osag002.Peer-Reviewed Original ResearchConceptsWearable passive samplersPassive samplersHealth StudyMinimum guidelinesSecondary analysisRemote communitiesVulnerable populationsMeasure exposureExposure to environmental chemicalsQuality assurance measuresExposomeLarge-scale health studiesPersonal exposureComprehensive measureAssurance measuresSampling toolEnvironmental chemicalsCost-effective approachSamplerChemical analysis approachesEnvironmental influencesAnalysis approach
2023
Assessment of children's personal and land use regression model-estimated exposure to NO2 in Springfield, Massachusetts
Gao D, Esenther S, Minet L, De Jesus A, Hudson S, Leaderer B, Hatzopoulou M, Godri Pollitt K. Assessment of children's personal and land use regression model-estimated exposure to NO2 in Springfield, Massachusetts. The Science Of The Total Environment 2023, 892: 164681. PMID: 37302586, DOI: 10.1016/j.scitotenv.2023.164681.Peer-Reviewed Original ResearchCitationsWearable Passive Samplers for Assessing Environmental Exposure to Organic Chemicals: Current Approaches and Future Directions
Okeme J, Koelmel J, Johnson E, Lin E, Gao D, Pollitt K. Wearable Passive Samplers for Assessing Environmental Exposure to Organic Chemicals: Current Approaches and Future Directions. Current Environmental Health Reports 2023, 10: 84-98. PMID: 36821032, DOI: 10.1007/s40572-023-00392-w.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPassive samplersOrganic chemicalsExposure assessmentHigh-throughput chemical analysisSemi-volatile organic chemicalsComplex mixturesChemical analysisEnvironmental health researchEnvironmental contaminantsPopulation scaleMonitoring approachActive air samplingQuantitative exposure assessmentEvaluation of exposureCompositional diversityAnalytical challengesHundreds of chemicalsPersonal exposurePopulation levelExposure estimatesSamplerActive samplersEnvironmental chemicalsContaminantsDynamic mixture
2022
Development and Application of a Polydimethylsiloxane-Based Passive AirSampler to Assess Personal Exposure to SARS-CoV-2
Angel D, Gao D, DeLay K, Lin E, Eldred J, Arnold W, Santiago R, Redlich C, Martinello R, Sherman J, Peccia J, Godri Pollitt K. Development and Application of a Polydimethylsiloxane-Based Passive AirSampler to Assess Personal Exposure to SARS-CoV-2. Environmental Science & Technology Letters 2022 PMCID: PMC8768000, DOI: 10.1021/acs.estlett.1c00877.Peer-Reviewed Original ResearchAltmetric
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