Alexander Broad
Principal ML Researcher, Architect, Tech Lead at Boston Dynamics
Cambridge, Massachusetts, United States
Summary
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Senior🎓
Top SchoolAlexander Broad is a Principal ML Researcher and technical leader based in Cambridge, MA, with 11 years of experience advancing machine learning for robotics at Boston Dynamics. He progressed from researcher to architect and tech lead roles, driving production-ready ML systems for dynamic, real-world robots and bridging research with scalable engineering. A PhD in Computer Science with specialties in machine learning and robotics underpins his approach to combining principled algorithms with systems design. His background includes early applied research at MIT Lincoln Laboratory and an internship at MERL, reflecting a blend of government and industry problem-solving. Colleagues rely on him to translate ambitious research into robust, deployable solutions that operate under real-world constraints.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science Machine Learning Robotics, Doctor of Philosophy (PhD) Computer Science Machine Learning Robotics at Northwestern UniversityMS Computer Science, MS Computer Science at Washington University in St. Louis
Github Skills (14)
faster-rcnn7
machine-learning7
deep-learning7
realtek6
wifi5
aircrack-ng5
driver4
robotics4
usb4
ros4
trajectory-optimization3
optimization3
pkg2
reinforcement-learning1
Programming languages (2)
Github contributions (5)
asbroad/geom_rcnn
May 2016 - Jun 2018
Contributions:15 commits, 11 pushes in 2 years 1 month
asbroad/gym
Jul 2016 - Jan 2017
Contributions:7 pushes in 6 months
comparingreinforcement-learning-algorithmsdevelopingdeep-learningreinforcement-learning
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