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    Alexander Broad

    Machine Learning Researcher at Boston Dynamics

    Alexander Broad is a Senior Staff Machine Learning Researcher at Boston Dynamics, specializing in robotics and artificial intelligence.2 He joined Boston Dynamics in August 2019 as a Machine Learning Researcher and was promoted to his current role in January 2022.2

    Broad holds a PhD in Computer Science from Northwestern University, where he focused on Machine Learning, Robotics, Control, and Perception.12 His doctoral research centered on "Generalizable Data-Driven Models for Personalized Shared Control of Human-Machine Systems".1 Prior to his PhD, he earned an MS in Computer Science from Washington University in St. Louis, where he also completed his BA in Mathematics and Philosophy-Neuroscience-Psychology.12

    Before joining Boston Dynamics, Broad's professional experience included:

    1. Machine Learning Research Intern at Mitsubishi Electric Research Laboratories (MERL) in 20172
    2. Associate Technical Staff at MIT Lincoln Laboratory from 2011 to 201412

    Broad's research interests lie at the intersection of Machine Learning and Robotics, with a particular focus on developing novel algorithms for assistive robotics.3 His work aims to introduce robot autonomy and learning to platforms such as wheelchairs and robotic arms.3

    Throughout his academic career, Broad received several prestigious fellowships, including the Walter P. Murphy Fellowship and the Todd M. and Ruth Warren Fellowship at Northwestern University.2

    Highlights

    ‪Alexandr A. Kalinin‬ - ‪Google Scholar‬
    ‪Alexander Broad‬ - ‪Google Scholar‬

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    Alexander Broad
    Alexander Broad, photo 1
    Alexander Broad, photo 2
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    Location

    Cambridge, Massachusetts
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