Matthew's research focuses on understanding the principles of cerebellar learning and its applications to pattern recognition, supervised learning, and control. Additionally, he investigates general purpose learning by developing general game playing agents for Atari 2600 video games. In his spare time Matthew is an avid rock climber.
mhauskn [at] cs utexas edu