Summary
Allen Wang is an AI robotics scientist with a decade of experience building control systems and machine learning for robots and fusion experiments. He blends hands-on robotics work from Boston Dynamics with fusion controls research at MIT’s Plasma Science and Fusion Center, contributing to predictive models that improve fusion plant reliability. Currently at Lila Sciences, he applies AI-driven automation to accelerate robotic lab workflows, bridging lab automation and advanced control. His background includes probabilistic planning at MIT CSAIL and dynamics simulation at Waymo, reflecting a strong foundation in planning, controls, and systems engineering. Allen holds advanced degrees from MIT in Autonomous Systems and Aeronautics and Astronautics, and his GitHub tagline—“Controls + ML Things for Fusion”—captures a focused intersection of control theory and machine learning not obvious from titles alone.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Aerospace Engineering, Mathematics, Economics, 3.94, Bachelor's degree, Aerospace Engineering, Mathematics, Economics, 3.94 at Iowa State University
Master's degree, Aeronautics and Astronautics, Master's degree, Aeronautics and Astronautics at Massachusetts Institute of Technology