Published multiple papers including 'Risk-Guided Diffusion: Toward Deploying Robot Foundation Models In Space, Where Failure Is Not An Option' and 'Generative Predictive Control: Flow Matching Policies for Dynamic and Difficult-to-Demonstrate Tasks'; Joint work with NASA-JPL won the Best Paper Award at the RSS Workshop on Reliable Robotics; DROP project won outstanding paper at the CoRL dexterous manipulation workshop.
Research Experience
Currently a Visiting Research Fellow at Toyota Research Institute, working with the Large Behavior Models team; Former postdoc and research scientist in the Ames and Burdick groups at Caltech; PhD research at the DISCOVER lab, Notre Dame.
Education
PhD student at DISCOVER lab, Notre Dame from 2017 to 2023; Postdoc and research scientist in the Ames and Burdick groups at Caltech; Undergraduate studies in physics and violin performance at Goshen College.
Background
Research interests include developing planning and control algorithms for high-degree-of-freedom robots such as quadrupeds, humanoids, and manipulators. Previously worked with the Large Behavior Models team at Toyota Research Institute, and will be joining DePaul University's School of Computing as an Assistant Professor.