Matthew Kelsey
Data Science Supervisor
Ferndale, Michigan, United States
Summary
🤩
Rockstar🎓
Top SchoolMatthew Kelsey is a Data Science Supervisor at Ford with a decade of experience translating particle-physics rigor into production-ready AI/ML systems for telematically connected vehicles. He built predictive repair and maintenance intelligence that improves vehicle uptime and customer experience, drawing on his prior research at the Large Hadron Collider and RHIC. Matthew’s background as a Ph.D. experimental high-energy physicist and successive postdoctoral roles gave him deep expertise in large-scale data, uncertainty quantification, and signal extraction—skills he now applies to complex vehicle telemetry. Based in Ferndale, Michigan, he combines research-grade analytics with product-focused deployment, often bridging teams from model development to fleet-scale operations. An analytical thinker who prefers evidence-driven solutions, he’s known for turning noisy, high-dimensional sensor data into actionable maintenance insights.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.), Physics, Bachelor of Arts (B.A.), Physics at State University of New York College at PotsdamDoctor of Philosophy (Ph.D.), Experimental High Energy Physics, Doctor of Philosophy (Ph.D.), Experimental High Energy Physics at Syracuse University
Github Skills (18)
configurations10
simulator9
simulation9
python9
linux9
windows9
scientific-computing9
macos9
package-manager9
build-tools8
hpc8
multiple-versions8
modular8
spack6
sqf1
Programming languages (2)
Github contributions (5)
mjk655/J2XSCAPE-DEV
Dec 2020 - Jun 2021
XSCAPE/JETSCAPE, a modular, task-based framework for simulating all aspects of heavy-ion collisions and more ...
Contributions:7 pushes in 5 months
pythonaspectscollisionssimulationion
mjk655/spack
Feb 2021 - Mar 2021
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Contributions:14 pushes in 26 days
compilersmacrosdubsqfplatforms
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