Joshua Mcclellan
Artificial Intelligence And Autonomy Engineer at The Johns Hopkins University Applied Physics Laboratory
Silver Spring, Maryland, United States
Summary
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Senior🎓
Top SchoolJoshua Mcclellan is an Artificial Intelligence and Autonomy Engineer with nine years of experience blending machine learning, control theory, and microelectronics to solve real-world autonomy problems. At Johns Hopkins APL he develops and evaluates reinforcement learning, imitation learning, and optimal control methods with a focus on robustness and multi-agent coordination, and previously led a funded research project as principal investigator. His background ranges from designing microscale mass spectrometers and multithreaded swarm simulators to deploying enterprise-scale systems, reflecting a rare mix of hands-on hardware, algorithms, and systems engineering. A strong mentor and collaborator, he has co-authored multiple peer-reviewed papers and routinely bridges research and operational deployment in defense and academic settings.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at Johns Hopkins Whiting School of EngineeringBachelor’s Degree, Electrical and Electronics Engineering; minors in Computer Science and Mathematics, 3.94, Bachelor’s Degree, Electrical and Electronics Engineering; minors in Computer Science and Mathematics, 3.94 at Brigham Young University
English, Italian, Spanish
Github Skills (3)
depth2
machine-learning1
deep-learning1
Github contributions (5)
joshmccl/creative1
Sep 2017 - Oct 2017
Contributions:10 pushes, 1 branch in 12 days
Sheath51/angularCreative
Oct 2017 - Oct 2017
Contributions:4 pushes in 1 day
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