Jesse Buxton
Data Science Program Manager
Columbus, Ohio, United States
Summary
👤
Senior🎓
Top SchoolJesse Buxton is a Data Science Program Manager with a PhD in experimental high-energy nuclear physics and over a decade of experience applying advanced quantitative methods to real-world problems. He translates complex scientific and engineering workflows into production-ready software and models, having contributed C++ analysis code to the prominent ALICE experiment at CERN and built scalable ML pipelines for power outage and equipment-failure forecasting at American Electric Power. Comfortable across Python, C++, SQL and MATLAB in Windows and Linux, he combines rigorous experimental design with practical data engineering to automate fragmented data integrations and accelerate analysis. Jesse pairs technical depth with growing business acumen through an MBA at The Ohio State University, positioning him to bridge analytics, strategy, and operationalization. He’s a collaborative leader who has coordinated multinational research efforts and published and presented widely, and outside work he channels the same precision into woodworking and 3D printing. An uncommon strength is his track record of moving highly specialized scientific codebases into operational contexts while maintaining robustness and reproducibility.
10 years of coding experience
11 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at The Ohio State University
Github Skills (10)
experiment10
alice10
root-view10
exp10
analyse10
c-language10
high-energy-physics10
physics10
cprogramming-language10
document-root10
Programming languages (1)
Github contributions (5)
alisw/AliPhysics
Jan 2016 - Jul 2019
ALICE Analysis Repository
Role in this project:
Back-end Developer & Physics Analysis
Back-end Developer & Physics AnalysisContributions:117 commits, 48 PRs, 1 comment in 3 years 6 months
Contributions summary:Jesse primarily focuses on the development and modification of physics analysis code, specifically within the context of the ALICE experiment. Their contributions include creating and modifying classes for V0 particle efficiency studies, adding constructors, copy constructors, and assignment operators to classes, and fixing bugs related to injected particles and daughter selections. The user's work also involves adapting and improving existing methods for analyzing and extracting particle data. They demonstrate a strong understanding of the ALICE analysis framework, including the use of AOD data and MC truth information.
physicspythoncernanalysisalice
buxton45/FemtoAnalysis
Jul 2016 - Jan 2024
Contributions:173 pushes, 1 branch in 7 years 7 months
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