Mazen Al Borno, PhD
Distinguished Postdoctoral Fellow
Department of Bioengineering
Computational Models of Human Movement
Humans have the remarkable ability to move with ease, grace, precision and speed despite constantly changing environments and bodies. While it is easy to be impressed by the skilled movements of athletes —from a sprinter breaking a record to a dancer performing a pirouette — we should also be impressed by our everyday movements — from sitting on a chair to picking up a glass of water. Without being conscious of it,our motor system is constantly solving computationally challenging problems in ways that astonishes both roboticists and neuroscientists. My research is on developing computational models of human movement. My work has applications in a range of fields including computer graphics, wearable sensors for motor rehabilitation, computational motor control and the design of assistive devices.
Mazen Al Borno received his B.S.E and M.S in Software Engineering and Computer Science from McGill University and his Ph.D in Computer Science from the University of Toronto, working with Eugene Fiume. He is currently a distinguished postdoctoral fellow at Stanford in Bioengineering, working with Scott Delp. During his studies, he also interned at the Max Planck Institute for Intelligent Systems and at Weta Digital.