Jared Oyler
Principal Geospatial Scientist
State College, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolJared Oyler is a Principal Geospatial Scientist with over a decade of experience applying climate, ecology, and agricultural R&D to operational geospatial products and enterprise software. He specializes in hyperlocal weather and climate data products and geospatial data engineering, translating complex statistical methods into scalable tools for digital farming and ecological decision-making. Jared has led multidisciplinary weather and climate projects at Jupiter Intelligence and BASF, bridging research-grade models from his Ph.D. in ecological climatology to production workflows. He brings a rare combination of academic rigor (Ph.D., postdocs) and early-career software engineering practice, enabling pragmatic, reproducible solutions for clients and stakeholders. Based in State College, PA, he is adept at turning high-resolution environmental data into actionable insights that reduce risk and inform on-the-ground agricultural choices. An understated strength is his habit of integrating research-grade datasets into enterprise pipelines, ensuring scientific fidelity without sacrificing operational performance.
12 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Computer Information Systems, Bachelor's degree, Computer Information Systems at Drexel UniversityDoctor of Philosophy - PhD, Ecological Climatology, Doctor of Philosophy - PhD, Ecological Climatology at University of MontanaMaster's degree, Geography, Master's degree, Geography at Penn State University
Github Skills (8)
topography9
generic-interface9
spatial8
temperature8
python7
scale7
simulation3
parallel-computing3
Programming languages (2)
Github contributions (5)
scrim-network/hpc-docs
Feb 2018 - Jul 2021
Documentation, tutorials and example code for running parallel computing workloads on the Institute for CyberScience Advanced CyberInfrastructure (ICS-ACI).
Contributions:1 PR, 16 pushes in 3 years 6 months
parallel-computing
jaredwo/obsio
Sep 2015 - Jun 2019
obsio is a Python package that provides a consistent generic interface for accessing weather and climate observations from multiple different data providers.
Contributions:82 commits, 35 pushes, 2 branches in 3 years 9 months
generic-interfacepython
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