Chris Aasted
LM Fellow at Lockheed Martin
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolChris Aasted is an AI research engineer and technical leader with nine years of experience applying deep learning, reinforcement learning, and sensor fusion across defense, aerospace, and medical domains. Based in Denver, he progressed from academic neuroimaging research—publishing and deploying clinical monitoring systems—to leading teams of up to ~50 engineers as Chief Architect for Lockheed Martin’s Cognitive Mission Manager and now serves as an LM Fellow overseeing a portfolio of AI programs. He has a PhD in Intelligent Control Systems and a track record of translating constrained-data methods (e.g., capsule networks with active learning) into deployed models and conference presentations. Notably, he combines hands-on algorithm development and embedded/real-time system work with program-level technical strategy and successful funding and transition efforts.
9 years of coding experience
17 years of employment as a software developer
Bachelor of Science (BS) Engineering (Mechanical Specialty), Bachelor of Science (BS) Engineering (Mechanical Specialty) at Colorado School of MinesDoctor of Philosophy (PhD) Engineering (Intelligent Control Systems), Doctor of Philosophy (PhD) Engineering (Intelligent Control Systems) at University of Denver
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
ignition9
gazebosim8
robotics-simulation8
simulations8
gazebo-simulator8
ros7
simulation7
robotics7
reinforcement-learning5
Programming languages (2)
Github contributions (5)
caasted/sphere_games
Apr 2018 - Sep 2018
ROS/Gazebo simulations for reinforcement learning exercises
Contributions:98 commits, 77 pushes, 3 branches in 5 months
gazeborobotics-simulationroboticsignitionros2
caasted/electric-sheep
Jan 2017 - Feb 2017
Contributions:43 commits, 35 pushes, 1 branch in 26 days
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