I am a PhD candidate 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 and Linux.
In my free time I enjoy running in the mountains, cycling, cooking, reading, and playing guitar.
PhD Computing and Robotics, 2021?
University of Utah
MS Computer Science, 2016
BS Mathematics and Philosophy, 2011
Carnegie Mellon University
|December 2020||Passed my PhD proposal defense.|
|September 2020||Passed my PhD qualifier exam with a high-pass grade.|
|July 2020||Participated in the RSS Pioneers 2020 workshop.|
|August 2019||Our papers on active learning of ProMPs and learning DMP task constraints were accepted to Humanoids 2019.|
|Summer 2019||I will be interning at Amazon Robotics in North Reading, MA!|