Michelle is a fifth-year PhD student in the Robotics Institute at Carnegie Mellon University, advised by Reid Simmons and Henny Admoni, and is part of the Human and Robot Partners (HARP) Lab and Reliable Autonomous Systems Lab (RASL). Her research is focused on active learning from human feedback, uncertainty quantification, and human-robot collaboration. Her work bridges learning from feedback and collaboration by enabling robots to quantify and communicate their uncertainty, empowering human partners to more effectively diagnose, improve, and personalize learning-based systems. Michelle?s summer internship at Toyota Research Institute focuses on active data gathering via online corrections to imitation learning policies. She is dedicated to mentoring students from all backgrounds and improving the culture of SCS, especially with respect to underrepresented students. Michelle has been supported by an NDSEG Fellowship.
Ph.D. , Computer Science
Class of 2026