Josh Bongard
Josh Bongard is a computer scientist whose research connects evolutionary robotics, embodied intelligence and living machines. He studied computer science at McMaster, completed graduate degrees at Sussex and Zurich, worked at Cornell, and joined the University of Vermont faculty by 2007. His early work included a self-modeling robot and a 2006 book with Rolf Pfeifer on how bodies shape thought; he received a Microsoft Research fellowship and MIT Technology Review's TR35 recognition in 2007, and the PECASE in 2010. In 2020, he co-led a team designing frog-cell living robots; in 2021, he joined the team behind self-replicating Xenobots and, in 2025, coauthored a paper on synergy in complex systems. As of October 2026, he is UVM's Veinott Professor of Computer Science, directs the Morphology, Evolution & Cognition Laboratory and Vermont Advanced Computing Center, and co-directs the Computational Story Lab.
- Now at
- University of Vermont
Timeline
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2006
A robot that models itself
In 2006, at Cornell's Computational Synthesis Lab, he works with Hod Lipson and graduate student Viktor Zykov on a four-legged robot that models its body and changes its gait after a leg is removed.
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2006
A book on embodied intelligence
In 2006, he and Rolf Pfeifer publish How the Body Shapes the Way We Think. The book argues that bodily form and material properties shape thought.
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By 2007
Degrees and a UVM appointment
He earns an undergraduate degree in computer science from McMaster University, an MSc from Sussex University, and a PhD from the University of Zurich. He conducts postdoctoral research in Cornell's Computational Synthesis Lab under Hod Lipson before becoming an assistant professor of computing science at UVM by 2007.
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2007–2010
Early career awards
In 2007, he receives the Microsoft Research New Faculty Fellowship, and MIT Technology Review names him to its TR35 list of innovators under 35. In 2010, President Barack Obama presents him with the Presidential Early Career Award for Scientists and Engineers (PECASE) at a White House ceremony.
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2020
Designing living robots
In 2020, he co-leads a UVM–Tufts team that uses an evolutionary algorithm on UVM's Deep Green supercomputer to design living machines from frog cells. Tufts biologists assemble and test the designs.
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2021
Self-replicating Xenobots
In 2021, he and his former doctoral student Sam Kriegman join a team that discovers a new form of biological reproduction and creates the first self-replicating Xenobots. The team's research appears in PNAS in November 2021.
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2025
A paper on synergy
In 2025, he coauthors “The topology of synergy: Linking topological and information-theoretic approaches to higher-order interactions in complex systems,” contributes supervision, and is affiliated with UVM's Vermont Complex Systems Institute and Department of Computer Science.
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As of October 2026
Professor and lab director
As of October 2026, he is the Veinott Professor of Computer Science at the University of Vermont and directs the Morphology, Evolution & Cognition Laboratory. He also directs the Vermont Advanced Computing Center and co-directs UVM's Computational Story Lab. His research centers on evolutionary robotics, evolutionary computation and physical simulation.
Career
- NowUniversity of VermontAssistant professor of computing science
- Cornell UniversityPostdoctoral researcher
Education
- McMaster UniversityUndergraduate computer science degree
- University of SussexMaster's degree
- University of ZurichPhD
Sources and credits
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- Cornell robot discovers itself and adapts to injury when it loses one of its limbs
- How the Body Shapes the Way We Think by Rolf Pfeifer, Josh Bongard
- Prof. Joshua Bongard
- Technology Review magazine names two Cornellians to annual list of 'Young Innovators'
- Josh Bongard | The University of Vermont
- Microsoft Research awards Josh Bongard prestigious 2007 New Faculty Fellowship
- Josh Bongard named to Technology Review's prestigious TR35 list of top young innovators
- Team Builds the First Living Robots
- Self-Replicating Living Robots Spur World-Wide Media Blitz
- The topology of synergy: Linking topological and information-theoretic approaches to higher-order interactions in complex systems
- Artificial Intelligence | The University of Vermont
- Don’t Panic! AI from the Inside ft. UVM's Josh Bongard - Calendar of Events
