Panos Georgopoulos, Ph.D.

Professor Rutgers University – School of Public HealthEOHSI – Environmental and Population Health Bio-Sciences
EOHSI Room 308 170 Frelinghuysen Rd Piscataway New Jersey 08854 Work Phone: 848-445-0159 Work Fax: 732-445-0915 Website: Dr. Georgopoulos Bio Page
Photo of Panos Georgopoulos Ph.D.

Biographical Info

Dr. Georgopoulos is Professor of Environmental and Occupational Medicine at Rutgers University – Robert Wood Johnson Medical School. He is also a member of the Graduate Faculties of Chemical and Biochemical Engineering, Biomedical Engineering, and of Environmental Sciences at Rutgers University, and a member of the Rutgers Environmental and Occupational Health Sciences Institute (EOHSI). Dr. Georgopoulos received his M.S. and Ph.D. Degrees in Chemical Engineering from the California Institute of Technology (Caltech) and his Dipl. Ing. Degree from the National Technical University of Athens. At EOHSI he established and directs the Computational Chemodynamics Laboratory (CCL), a state-of-the-art facility for informatics and modeling of complex environmental and biological systems. Furthermore, he directs the State-funded Ozone Research Center and co-directs the Center for Exposure and Risk Modeling (CERM) at EOHSI. He is Co-Director of the Environmental Bioinformatics and Computational Toxicology Center (ebCTC), a research consortium of Rutgers University, Princeton University, and USFDA’s Center for Toxicoinformatics (funded by USEPA 2005-2010). He is also Director of the Informatics and Computational Toxicology Core for the NIEHS Center for Environmental Exposures and Disease (CEED) at EOHSI. He served as Director of the USDOE-funded Center of Expertise in Exposure Assessment of the Consortium for Risk Evaluation with Stakeholder Participation (CRESP). [read more…]

Research Interests

Multiscale Simulation of Environmental and Biological Systems and Interactions

  • Mathematical modeling of multimedia transport, fate and uptake of environmental pollutants – photochemical oxidants; air toxics; pesticides; solvents; heavy metals; nanomaterials; spores and pollens
  • Physiologically-based pharmacokinetics; inhalation, ingestion and dermal absorption dosimetry
  • Mechanistic pharmacodynamics
  • Virtual tissues
  • Computational systems toxicology and toxicogenomics

Enviroinformatics and the Exposome

  • Spatiotemporal data mining and analytics
  • Geographic Information and Database Management Systems
  • Multiroute/multipathway modeling of human exposures to chemical, radiological and biological agents
  • Climatic change impacts on environmental quality and human exposure and health
  • Environmental cheminformatics and bioinformatics

Risk Analysis for Environmental and Occupational Health

  • Uncertainty characterization and analysis
  • Diagnostic and prognostic risk assessment for exposures to carcinogens, neurotoxicants, allergens, irritants, endocrine disruptors
  • Individual and population based simulation modeling

Recent Publications

  1. Ren, X, Mi, Z, Georgopoulos, PG. Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches. J Expo Sci Environ Epidemiol. 2024;34 (2):197-207. doi: 10.1038/s41370-023-00518-0. PubMed PMID:36725924 PubMed Central PMC9889956
  2. Ren, X, Cai, T, Mi, Z, Bielory, L, Nolte, CG, Georgopoulos, PG. Modeling past and future spatiotemporal distributions of airborne allergenic pollen across the contiguous United States. Front Allergy. 2022;3 :959594. doi: 10.3389/falgy.2022.959594. PubMed PMID:36389037 PubMed Central PMC9640548
  3. Barrett, ES, Andrews, TR, Roy, J, Greenberg, P, Ferrante, JM, Horton, DB, Gordon, M, Rivera-Núñez, Z, Pellerano, MB, Tallia, AF et al.. Community- Versus Health Care Organization-Based Approaches to Expanding At-Home COVID-19 Testing in Black and Latino Communities, New Jersey, 2021. Am J Public Health. 2022;112 (S9):S918-S922. doi: 10.2105/AJPH.2022.306989. PubMed PMID:36265092 PubMed Central PMC9707722
  4. Ren, X, Mi, Z, Cai, T, Nolte, CG, Georgopoulos, PG. Flexible Bayesian Ensemble Machine Learning Framework for Predicting Local Ozone Concentrations. Environ Sci Technol. 2022;56 (7):3871-3883. doi: 10.1021/acs.est.1c04076. PubMed PMID:35312316 PubMed Central PMC9133919
  5. Ren, X, Weisel, CP, Georgopoulos, PG. Modeling Effects of Spatial Heterogeneities and Layered Exposure Interventions on the Spread of COVID-19 across New Jersey. Int J Environ Res Public Health. 2021;18 (22):. doi: 10.3390/ijerph182211950. PubMed PMID:34831706 PubMed Central PMC8618648
  6. Yu, CH, Weisel, CP, Alimokhtari, S, Georgopoulos, PG, Fan, ZT. Biomonitoring: A tool to assess PFNA body burdens and evaluate the effectiveness of drinking water intervention for communities in New Jersey. Int J Hyg Environ Health. 2021;235 :113757. doi: 10.1016/j.ijheh.2021.113757. PubMed PMID:33962122
  7. Zhang, X, Just, AC, Hsu, HL, Kloog, I, Woody, M, Mi, Z, Rush, J, Georgopoulos, P, Wright, RO, Stroustrup, A et al.. A hybrid approach to predict daily NO2 concentrations at city block scale. Sci Total Environ. 2021;761 :143279. doi: 10.1016/j.scitotenv.2020.143279. PubMed PMID:33162146
  8. Ren, X, Mi, Z, Georgopoulos, PG. Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations across the contiguous United States. Environ Int. 2020;142 :105827. doi: 10.1016/j.envint.2020.105827. PubMed PMID:32593834
  9. Cai, T, Zhang, Y, Ren, X, Bielory, L, Mi, Z, Nolte, CG, Gao, Y, Leung, LR, Georgopoulos, PG. Development of a semi-mechanistic allergenic pollen emission model. Sci Total Environ. 2019;653 :947-957. doi: 10.1016/j.scitotenv.2018.10.243. PubMed PMID:30759620 PubMed Central PMC7841766
  10. Graber, JM, Alexander, C, Laumbach, RJ, Black, K, Strickland, PO, Georgopoulos, PG, Marshall, EG, Shendell, DG, Alderson, D, Mi, Z et al.. Per and polyfluoroalkyl substances (PFAS) blood levels after contamination of a community water supply and comparison with 2013-2014 NHANES. J Expo Sci Environ Epidemiol. 2019;29 (2):172-182. doi: 10.1038/s41370-018-0096-z. PubMed PMID:30482936 PubMed Central PMC6380951
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Categories: Faculty, Environmental and Population Health Biosciences, Epi Members, Member, Resident Faculty
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