Trok et al. “Large-scale circulation patterns regulate the response of extreme atmospheric river events to global warming.”
Diffenbaugh & Trok. “Verification of single-event climate attribution using out-of-sample observations.”
Submitted
Fay R.L., Glidden C.K., Trok J.T., Diffenbaugh N.S., Ciota A.T., & Mordecai E.A. “The impact of climate change on transmission season length: West Nile virus as a case study.” bioRxiv
Ji A., Singh S., Corner J. M., Higgins T., Dang H. V., Mathai M., Trok J. T., & Mamalakis A. “Attributing extreme precipitation over CONUS to global warming via artificial intelligence.” Submitted to GRL.
2026
Trok, J.T., Barnes, E.A., Gordon, E.M., Davenport, F.V. & Diffenbaugh, N.S. “Global emissions since the Paris Agreement have intensified Europe's recent heatwaves.” Accepted at Geophysical Research Letters.
Harris, M.J., Trok, J.T., Martel, K.S., Cordova, M.J.B., Diffenbaugh, N.S., Munayco, C.V., ... & Mordecai, E.A."Extreme precipitation, exacerbated by anthropogenic climate change, drove Peru’s record-breaking 2023 dengue outbreak." One Earth.
Media coverage: Stanford Report, “How climate change is fueling disease outbreaks.” Rob Jordon.
2025
Callahan, C.W., Trok, J.T., Wilson, A.J., Gould, C.F., Heft-Neal, S., Diffenbaugh, N.S., & Burke, M. "Increasing risk of mass human heat mortality if historical weather patterns recur." Nature Climate Change.
Media coverage: Stanford Doerr School of Sustainability. “Weather behind past heat waves could return far deadlier.” Josie Garthwaite.
Callahan, C., Trok, J.T., Wilson, A., Gould, C., Heft-Neal, S., Burke, M., & Diffenbaugh, N.S. "Quantifying the contributions of climate change and adaptation to mortality from unprecedented extreme heat events." Proceedings of the National Academy of Sciences.
2024
Trok, J.T., Barnes, E.A., Davenport, F.V. & Diffenbaugh, N.S. "Machine learning–based extreme event attribution." Science Advances.
Media coverage: Stanford Report, “Using AI to link heat waves to global warming.” Rob Jordon, 2024.
Media coverage: The Hill, “New AI-powered tool could help predict heat waves, link them to climate change.”, Sharon Udasin, 2024.
Media coverage: Appearance on ABC13 Weather Now Houston, 2024.
2023
Rastogi, D., Trok, J.T., Depsky, N., Monier, E. & Jones, A.D. "Historical evaluation and future projections of compound heatwave and drought extremes over the conterminous United States in CMIP6." Environmental Research Letters.
Trok, J.T., Davenport, F.V., Barnes, E.A., & Diffenbaugh, N.S. "Using machine learning with partial dependence analysis to investigate coupling between soil moisture and near‐surface temperature." Journal of Geophysical Research: Atmospheres.
2026
Conference on Attribution Science and Climate Law 2026, Columbia University, NY
[Poster] Extreme event attribution based on fractional shares of historical emissions
Doerr School of Sustainability Research Review 2026, Stanford, CA
[Oral] Extreme event attribution based on fractional shares of historical emissions
Water in the West Conference 2026, Stanford, CA
[Invited] Large-scale circulation patterns regulate the response of extreme atmospheric river
events to global warming
2025
American Geophysical Union Fall Meeting 2025, New Orleans, LA
[Oral] Large-scale circulation patterns regulate the response of extreme atmospheric river
events to global warming
IPSL’s Extremes: Statistics, Impacts and Regionalization Research Group 2025
[Invited] Using machine learning to quantify uncertainty in extreme event attribution
2024
American Geophysical Union Fall Meeting 2024, Washington D.C.
[Oral] Quantifying uncertainty in extreme event attribution using neural networks
California E.P.A.’s Office of Environmental Health Hazard Assessment 2024
[Invited] ML-based extreme event attribution: implications for California
Climate Resolve’s Integrated Climate Committee on Extreme Heat Meeting 2024
[Invited] ML-based extreme event attribution: implications for California
2023
American Geophysical Union Fall Meeting 2023, San Francisco, CA
[Oral] Machine learning-based extreme event attribution
2022
American Geophysical Union Fall Meeting 2022, Chicago, IL
[Oral] Using machine learning with partial dependence analysis to investigate coupling
between soil moisture and near‐surface temperature
2021 - present
Stanford University
PhD, Earth System Science (expected 2027)
2017 - 2021
University of California–Davis
BS, Atmospheric Sciences, highest honors
BS, Applied Mathematics, high honors
2021
American Meteorological Society Graduate Fellowship
Stanford University ($5,000)
Atmospheric Sciences Departmental Award
University of California – Davis
2017 - 2021
Regents Scholar
University of California – Davis ($30,000)
2017
San Diego Air and Space Museum STEM Award
($5,000)