Alexander Broad

Alexander Broad is a highly educated individual with a background in Computer Science, Machine Learning, and Robotics.

He holds a Doctor of Philosophy (PhD) degree in Computer Science specializing in Machine Learning and Robotics from Northwestern University.

Alexander also completed his Master of Science (MS) in Computer Science from Washington University in St. Louis.

His academic journey includes a Bachelor of Arts (BA) in Mathematics and Philosophy-Neuroscience-Psychology, also from Washington University in St. Louis.

Professionally, Alexander Broad is currently affiliated with Boston Dynamics as a Machine Learning Researcher, contributing to cutting-edge projects in the field.

Prior to this, he was a Machine Learning Research Intern at MERL, gaining valuable industry experience.

Alexander has also worked as an Associate Technical Staff at MIT Lincoln Laboratory, showcasing his expertise and versatility in the tech industry.

For more detailed information on Alexander Broad's work and projects, his personal website serves as a valuable resource for further exploration.