Ph.D. Student at Carnegie Mellon University
I work at the intersection of HRI, Robotics and Machine Learning. I want to reduce the barriers to robots working in human workspaces, particularly in the home. Household and assistive autonomous robots are continually or intermittently receiving instructions or feedback from their human users, and need to be able to incorporate that and modify their behavior accordingly. I want to use machine learning techniques to give robots the flexibility needed to survive in a human-centric world.
I am a Ph.D. student in the Robotics Institute at Carnegie Mellon University. I am a member of the Personal Robotics Lab, and work primarily with ADA, the Assistive Dexterous Arm, a wheelchair-mounted robotic arm. Before coming to Carnegie Mellon, I received my Bachelor’s degree in computer engineering from Georgia Institute of Technology and audited the final year of the specialized Master’s in robotics at ENSTA ParisTech in Paris, France. Outside of robotics, I enjoy whitewater kayaking, technical theater, and traveling.