Meghan Huber is a postdoctoral research associate in the Department of Mechanical Engineering at the Massachusetts Institute of Technology and a member of the Newman Laboratory under the direction of Professor Neville Hogan.

Her research focuses on understanding human motor control, including how humans learn to control physical interactions and how humans learn from observing the actions of others. This basic research also serves to inform the development controllers for human-robot interaction and humanoid robots.

Her prior research focused on assessing and enhancing complex motor skill learning using virtual environments. She also developed multiple virtual rehabilitation systems for in-home use and worked on teams developing virtual training simulations for medical and military purposes.

Meghan received her B.S. degree in Biomedical Engineering from Rutgers University in 2009 and her M.S. degree in Biomedical Engineering from The University of Texas at Dallas in 2011. She recently received her Ph.D. in Bioengineering from Northeastern University in 2016 under the advisement of Dr. Dagmar Sternad. During her doctoral training, she was a Visiting Junior Scientist in the Autonomous Motion Department at the Max Planck Institute for Intelligent Systems in Tübingen, Germany from 2014-2015.

Recent News

Paper published in Journal of NeuroEngineering and Rehabilitation
“Learning and transfer of complex motor skills in virtual reality: A perspective review” by Danielle Levac, Meghan Huber, and Dagmar Sternad is now available in Journal of NeuroEngineering and Rehabilitation.
1st Place Presenter Award at the MIT MERE 2019
Meghan Huber won a first place presenter award at the MIT Mechanical Engineering Research Exhibition (MERE) for her poster on "Visual perception of joint stiffness from multi-joint motion" with co-authors A. Michael West, Jr., Charlotte Folinus, and Neville Hogan.
Joining MIE faculty at UMass Amherst 2020
Starting January 2020, I will be an assistant professor at UMass Amherst in the Mechanical and Industrial Engineering department and leading the Human Robotic Systems Laboratory.