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Bradley Gay

Photo of Bradley Gay

Address:

4800 Oak Grove Drive

Pasadena, CA 91109

Curriculum Vitae:

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Member of:

Carbon Cycle And Ecosystems

Biography

Bradley A. Gay received his Bachelor of Science in Biology from the University of Nebraska in 2010 and was employed as an ecological conservation and vegetation management specialist focused on tall-grass prairie restoration and invasive species mitigation throughout his undergraduate tenure. Thereafter, he received his Master of Science in Environmental Sciences and Policy from Johns Hopkins University in 2012 and gained research and industry experience within the sectors of environmental and power markets, wildlife trafficking, international conservation, and environmental policymaking. More recently, he received his doctorate in Earth Systems and Geoinformation Sciences from George Mason University in 2023, gaining academic and research experience as a graduate teaching assistant and research fellow at George Mason University, Future Earth, and NASA (GSFC, LARC). Presently, he is a member of Charles E. Miller’s lab and the Carbon Cycle and Ecosystems Group at the Jet Propulsion Laboratory, California Institute of Technology in Pasadena, California. While serving his NASA Postdoctoral Program appointment at JPL, he developed a physics-informed data-driven AI framework to capture, simulate, and project cryospheric memory in the form of the permafrost carbon feedback using in situ (i.e., ABoVE/USGS/JPL field campaigns, FLUXNET/NEON flux towers), airborne remote sensing (i.e., AVIRIS-NG, UAVSAR), and process-based model outputs (i.e., TCFM-Arctic, SIBBORK-TTE). In addition, he is collaborating with scientists at NASA (JPL, GSFC, AFRC), ESA/ESRIN, DLR, and MPI partners to generate circumpolar zero-curtain space-time maps with earth observation data (e.g., Sentinel-1, TROPOMI, OCO-2, NISAR, SBG), numerical models,  information theory, and quantum AI to quantify the causal links and feedback drivers of change across the Circumpolar Arctic under warming climate regimes.

Education

  • PhD, Earth Systems and Geoinformation Sciences | George Mason University, 2023
  • MSc, Environmental Sciences and Policy | Johns Hopkins University, 2012
  • BSc, Biology | University of Nebraska, 2010

Professional Experience

  • Caltech Postdoctoral Association
  • American Geophysical Union
  • European Geosciences Union
  • Ecological Forecasting Initiative
  • AAAS
  • IEEE: Geoscience and Remote Sensing Society
  • ESTC, Students for Environmental Action
  • GENRI

Research Interests

  • Investigating the permafrost carbon feedback with artificial intelligence and data assimilation
  • Circumpolar zero-curtain space-time characterization with remote sensing and artificial intelligence
  • Quantify circumpolar drivers of change and uncertainty with permafrost carbon modeling and information theory under warming climate regimes

Selected Awards

  • George Mason University College of Science Dean’s Graduate Award for Excellence in Research (2023)
  • Toolik All Scientists Meeting Travel Award Recipient (2023)
  • United States Permafrost Association Permafrost Young Researchers Network Education Award Recipient (2023)
  • George Mason University Dissertation Completion Grant Recipient (2023)
  • George Mason University Graduate Student Travel Fund Grant Recipient (2021-2023)
  • University of Nebraska Dean’s List
  • University of Nebraska Chancellor’s List
  • Beta Beta Beta Biological Honor Society - Iota Omega Chapter, Delta Epsilon Iota Academic Honor Society - Lambda Epsilon Chapter, Nebraska Art Awards Golden Key Recipient

Selected Publications

  1. Gay, B., et al. (2024). Forecasting Permafrost Carbon Dynamics in Alaska with Earth Observation Data and Artificial Intelligence, Science Understanding through Data Science Conference, California Institute of Technology, Pasadena, California, United States, 21-23 Aug 2024, 3-C3. https://essopenarchive.org/users/524229/articles/1225858-forecasting-permafrost-carbon-dynamics-in-alaska-with-earth-observation-data-and-artificial-intelligence
  2. Gay, B., et al. (2024). Forecasting Permafrost Carbon Dynamics in Alaska with GeoCryoAI, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6903, https://doi.org/10.5194/egusphere-egu24-6903
  3. Gay, B., et al. (2024). Forecasting Permafrost Carbon Dynamics in Alaska with GeoCryoAI, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18641, https://doi.org/10.5194/egusphere-egu24-18641
  4. Gay, B.A. et al. (2023). Investigating Permafrost Carbon Dynamics in Alaska with Artificial Intelligence. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ad0607
  5. Gay, B.A. et al. Investigating High-Latitude Permafrost Carbon Dynamics with Artificial Intelligence and Earth System Data Assimilation. ESS Open Archive. December 26, 2023. https://doi.org/10.22541/essoar.170355053.35677457/v1.
  6. Gay, B.A. et al. (2023). Investigating Permafrost Carbon Dynamics in Alaska with Artificial Intelligence. ESS Open Archive. December 26, 2023. https://doi.org/10.22541/essoar.170355056.64772303/v1
  7. Gay, B.A. et al. (2022). Quantifying Feedback Sensitivities of Permafrost Degradation and Carbon Release with Earth Observation Data and Feedback Neural Networks. Earth and Space Open Archive. http://doi.org/10.22541/essoar.167252578.88217202/v1
  8. Gay, B.A. et al (2022). Understanding Active Layer Thickness Variability Under Changing Climatic Conditions Across the North American Taiga-Tundra Ecotone, Earth and Space Science Open Archive. http://doi.org/10.1002/essoar.10509696.1
  9. Gay, B.A. et al (2021). Examination of Current and Future Permafrost Dynamics Across the North American Taiga-Tundra Ecotone. Earth and Space Science Open Archive. http://doi.org/10.1002/essoar.10505831.1
  10. Gay, B.A. et al. (2024). Decoding the Spatiotemporal Complexities of the Permafrost Carbon Feedback with Multimodal Ensemble Learning. Journal of Geophysical Research: Machine Learning and Computation. Under Review.
  11. Gay, B.A. Mandrake, L., Miner, K.R., & Miller, C.E. (2024). Leveraging Artificial Intelligence to Optimize Geoengineering Strategies. Nature: Climate Engineering. Under Review.
  12. Gay, B.A. et al. (2024). Navigating Risks in AI-Driven Climate Geoengineering. Perspectives of Earth and Space Scientists. Under Review.
  13. Gay, B.A. et al. (2024). Circumarctic Zero-Curtain Map with Remote Sensing and Ensemble Learning. In Preparation.
  14. Treat, C.C., Virkkala, A.-M., Burke, E., Bruhwiler, L., Chatterjee, A., Fisher, J.B., Gay, B.A., et al. (2024). Permafrost carbon: Progress on understanding stocks and fluxes across northern terrestrial ecosystems. Journal of Geophysical Research: Biogeosciences, 129, e2023JG007638. https://doi.org/10.1029/2023JG007638
  15. Dirmeyer, P.A., Gay, B.A., et al (2022). Evolution of Land Surface Feedbacks on Extreme Heat - Adapting Existing Coupling Metrics to a Changing Climate. Frontiers in Environmental Sciences. http://doi.org/10.3389/fenvs.2022.949250
  16. Bartsch, B., Gay, B., et al. (2024). Advancing the Arctic Methane Permafrost Challenge (AMPAC) with Future Satellite Missions. Applied Earth Observations and Remote Sensing. Under Review.
  17. Miner, K., Baskaran, L., Gay, B., et al. (2024). Frozen no more, A case study of Arctic permafrost impacts of oil and gas withdrawal. Scientific Reports. In Revision.
  18. Miner, K.R., Gay, B.A., et al. (2024). State of the Science: Critical Permafrost Science Gaps. Earth’s Future. Under Review.
  19. Miner, K.R., Wong, E., Gay, B.A., et al. (2024). Will ‘o the Wisps: non-traditional data to inform modern science. Nature: Scientific Reports. Under Review.
  20. Pei, Y., Dong, J., Zhang, Y., Yang, J., Wu, S., Gay, B., et al. (2024). Sensitivity of Dryland Plant Water Availability to Changes in Carbon and Water Fluxes. Earth’s Future. Under Review.
  21. Armstrong, A.H., Gay, B.A., et al. (2024). Validation of Permafrost Thaw Depth Simulations Across Vegetation Gradients in the North American Taiga-Tundra Ecotone. In Preparation.
  22. Montesano, P.M. et al. (2024). Variation in Projected Forest Pattern Changes at the North American Taiga-Tundra Ecotone. In Preparation.