I am a PhD student in the School of Computing at the University of Utah in the robotics track of the Utah Robotics Center. I work in the Utah Learning Lab for Manipulation Autonomy (LL4MA) and am advised by Dr. Tucker Hermans. My current research focuses on applying deep learning to problems in multisensory perception to better understand how sensory observations correspond to task-level events. I am also interested in investigating new methods for integrating perception and action for robotic agents.
I have hands-on experience with a variety of robot platforms, sensors, and simulators. I am passionate about open source software development for robotics, particularly for the ROS framework. Please have a look at my resume and feel free to contact me if you would like to discuss future job opportunities.
PhD in Computing and Robotics, 2021
University of Utah
MS in Computer Science, 2016
BS in Mathematics and Philosophy, 2011
Carnegie Mellon University
Software projects I have implemented over the course of my PhD to support my research.