Joseph Kennedy
ASF Staff Scientist at Alaska Satellite Facility
Fairbanks, Alaska, United States
Summary
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Rockstar🎓
Top SchoolJoseph Kennedy is an ASF Staff Scientist and engineering leader with 11+ years of experience building cloud and HPC data platforms that turn PB-scale Earth observation and model outputs into analysis-ready products. He bridges science and software, leading multi-institutional campaigns and supervising engineering teams while architecting open-source production services like the HyP3 on-demand SAR processing system. His background in computational glaciology and climate science (PhD in Physics) informs rigorous validation workflows and contributions to community tools and modeling infrastructure, including enhancements to the ESMCI CIME run_exe automation. Based in Fairbanks, he pairs hands-on back-end automation and packaging expertise in the scientific Python ecosystem with operational program management and customer-facing deployments. An adventurous Alaskan, he combines field-informed scientific intuition with scalable software delivery.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at University of Alaska FairbanksBachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Western Washington University
Stackoverflow
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0reached
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Github Skills (7)
configuration-management10
automation10
automations10
python10
xml9
parallel-computing8
documentation7
Programming languages (15)
Github contributions (5)
ESMCI/cime
Apr 2019 - Aug 2019
Common Infrastructure for Modeling the Earth
Role in this project:
Back-end & Automation Engineer
Back-end & Automation EngineerContributions:26 commits, 7 PRs, 20 pushes in 4 months
Contributions summary:Joseph primarily focused on enhancing the configuration and execution of the `run_exe` command within the CIME framework. They introduced machine-level customizations and integrated the `run_exe` command with the `mpirun` specifications. Moreover, the user extended customization capabilities to the `run_misc_suffix`. These changes involved modifications to Python scripts, XML schemas, and documentation updates, reflecting a focus on automation and customization within a scientific modeling infrastructure.
modelingearthinfrastructure
ASFHyP3/SRG
Mar 2024 - Feb 2025
Algorithm to provide deformation time series data for volcanic regions from space-geodetic InSAR and GNSS observations
Contributions:1 release, 8 reviews, 5 PRs in 10 months
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