Connor Christopherson
Associate Professional Staff
Provo, Utah, United States
Summary
👤
Senior🎓
Top SchoolConnor Christopherson is an Associate Professional Staff engineer at Johns Hopkins APL with nine years of hands-on experience bridging research and production software. Trained at Brigham Young University (BS and MS in Computer Science), he specializes in machine learning—particularly hierarchical reinforcement learning, NLP, and computer vision—and has implemented dozens of models using PyTorch, TensorFlow, and scikit-learn. His background includes building high-fidelity simulated environments and virtual sensors with C++ and Unreal Engine 4, plus full-stack production tooling experience from internships at Qualtrics and other firms. At the Perception Control and Cognition Lab he led meetings, mentored new researchers, and translated cutting-edge literature into reproducible experiments, demonstrating both technical depth and team leadership. Based in Provo, Utah, he pairs academic rigor (MS GPA 3.8) with practical delivery skills that move ML prototypes toward operational use.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, GPA 3.80, Master of Science - MS, Computer Science, GPA 3.80 at Brigham Young University
Spanish
Github Skills (22)
simulator9
robotics9
python9
reinforcement-learning-environments9
machine-learning9
gpu9
deep-learning9
computer-vision8
reinforcement-learning8
numpy8
simulation8
neural-network8
tensor7
acceleration7
tensorflow7
Programming languages (3)
Github contributions (5)
connorchristopherson/consensus
Nov 2018 - Nov 2018
Contributions:10 pushes in 11 days
accountconnor/AntTSP
Dec 2016 - Dec 2016
Contributions:3 pushes, 1 branch in 4 days
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