Jack Cimorelli

Geospatial Analyst

College Station, Texas, United States
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Summary

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Senior
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Top School
Jack Cimorelli is a geospatial analyst with 12 years of experience blending GIS, data analytics, and automation to support fire and emergency response operations. Currently serving at the Texas A&M Forest Service while pursuing an MS in Information Systems - Analytics at Marist, he applies practical field-facing GIS skills alongside analytical model-building and data pipelines. His background includes research and internship roles that bridged economics, geography, and spatial data, and he has contributed automation-focused enhancements to scientific build systems (e.g., EasyBuild) to improve multi-architecture software reproducibility. Comfortable working at the intersection of operations and tooling, Jack brings a pragmatic, systems-oriented approach to making geospatial data actionable under urgent, high-stakes conditions.
code11 years of coding experience
job1 year of employment as a software developer
bookMaster of Science - MS Information Systems - Analytics, Master of Science - MS Information Systems - Analytics at Marist University
bookBachelor of Arts - BA Economics Geography, Bachelor of Arts - BA Economics Geography at SUNY Geneseo
languagesSpanish
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Github Skills (12)

hpc10
scite10
acs10
python10
build-automation10
scilab10
grok10
gr10
r10
linux9
cmake8
gcc8

Programming languages (5)

C++ShellLuaRoffPython

Github contributions (5)

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Collection of easyblocks that implement support for building and installing software with EasyBuild.
Role in this project:
userAutomation Engineer / Build & Release Engineer
Contributions:5 commits, 2 PRs, 28 comments in 1 year 4 months
Contributions summary:Jack primarily contributed to enhancing the build and testing procedures within the EasyBuild framework. They focused on adapting the framework to support different versions and configurations of scientific software like Intel MKL, Intel MPI, and GROMACS. Their modifications involved adjusting sanity checks, environment variables, and build paths to ensure compatibility across diverse software versions and hardware architectures. Furthermore, the user incorporated improvements for specific scenarios, such as multilib builds on PowerPC.
pythoninstallinglinuxscientific-softwarehpc
A collection of easyconfig files that describe which software to build using which build options with EasyBuild. NOTE: More available at http://www.siliconslick.com/easybuild/ Official website:
Contributions:1 PR, 154 pushes, 201 branches in 5 years 1 month
easyconfigoptionsdescribeeasybuild
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Jack Cimorelli - Geospatial Analyst