I'm a first-year CS PhD student at the University of Wisconsin–Madison, advised by Mike Hagenow in the RT² Lab. My current research focuses on human-robot teaming and interactive robot learning. Broadly, I'm interested in making robot policies interpretable and steerable.
We propose Engagement-aware MPC (E-MPC), a user-engagement-aware method that plans interaction to maintain engagement while respecting a workload constraint.
A framework for modular policies that combines module-level uncertainty with models of human intervention cost to decide when and which module to query, evaluated on synthetic experiments and a robot-assisted bite acquisition system.
Last updated: September 2026
Template adapted from Jon Barron.