Charles Fox
Graduate Research Assistant
Washington DC-Baltimore Area United States
Summary
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Top SchoolCharles Fox is a Graduate Research Assistant in UMBC’s ATOMS Lab pursuing an accelerated MS in Computer Science with eight years of hands-on experience bridging machine learning research and production software. He focuses on symbolic regression and automated scientific knowledge representation, building on Bayesian MCMC approaches inspired by the Bayesian Machine Scientist. His internships at Northrop Grumman gave him practical exposure to containerized, high-throughput ML pipelines (Docker, Kubernetes, Kafka) and low-level macOS security work including kernel modification and method swizzling. Charles combines research rigor with applied engineering, having also developed team-effectiveness prediction models in the AVAIL Lab, and he balances technical depth with outdoor interests like hiking and photography.
7 years of coding experience
1 year of employment as a software developer
UMBC
Github Skills (23)
genetic-algorithm9
symbolic-regression8
science8
evolutionary-algorithms8
pure-python7
python7
julia7
regression6
machine-learning6
math6
symbolic-computation6
matlab6
algebra6
computer-algebra-system5
data-science5
Programming languages (4)
Github contributions (5)
CharFox1/Data-Vis-Project
Dec 2019 - Apr 2021
Contributions:11 pushes, 1 branch in 1 year 4 months
CharFox1/groupmeBot
Mar 2022 - Mar 2022
Contributions:4 PRs, 44 pushes, 3 branches in 2 days
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