Jeremy Diaz
Machine Learning Specialist (Mathematical Statistician)
United States
Summary
👤
Senior🎓
Top SchoolJeremy Diaz is a Machine Learning Specialist and mathematical statistician with a decade of experience applying deep learning, high-performance computing, and statistical rigor to Earth science and natural hazard problems. At the U.S. Geological Survey he develops operational forecasting systems, national-scale water quantity and quality models, and bespoke neural architectures with integrated uncertainty quantification and XAI to build trust in production science. His background blends hands-on research—from satellite and cryosphere data processing to wildfire and tornado damage prediction—with a passion for improving compute efficiency and reproducible workflows. Jeremy enjoys teaching applied math and engineering practices (Python, Git, Docker) to collaborators, helping teams adopt better software and modeling habits. He uniquely bridges academic training in geography and applied mathematics with operational needs, turning complex observational gaps into actionable forecasts for decision makers.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Geography, Master of Science - MS, Geography at Penn State UniversityBachelor's degree (with distinction), Applied Mathematics, Bachelor's degree (with distinction), Applied Mathematics at University of Colorado Boulder
Github Skills (47)
earth8
predict8
exploratory7
prediction-model7
noaa7
depth7
earth-science6
demographics6
ocean6
science6
react6
lstm6
climate-science6
environmental6
javascript6
Programming languages (5)
Github contributions (5)
jdiaz4302/US_Demo_Net
Apr 2018 - Aug 2018
Contributions:46 commits, 1 PR, 33 pushes in 4 months
pythonmachine-learningpredictdemographicssentinel-2
jdiaz4302/VolcanoesIR
May 2020 - Jun 2021
Contributions:294 pushes, 1 branch, 4 comments in 1 year 1 month
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