Daniel Bruder is a postdoctoral researcher at Harvard University. His research interests include robotics, dynamics, and controls with a specific focus on soft robots. Currently, he is exploring physics-based and data-driven modeling and control methods for soft robots in an effort to make such systems more capable and reliable.

He is originally from Farmington Hills, Michigan and received a B.S. in Engineering Sciences from Harvard University in 2013. After graduating, he worked as a math teacher at the Jalen Rose Leadership Academy in Detroit, then earned a PhD in mechanical engineering at the University of Michigan in 2020.

Dan’s website: www.danielbruder.com

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