Michelle Zhao

Carnegie Mellon University , 2026
Ph.D. , Computer Science
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Pittsburgh

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Contact
Phone icon8587613090
Email iconmzhao2@andrew.cmu.edu

About

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.

Education

Carnegie Mellon University

Ph.D. , Computer Science

Class of 2026

Awards & Publications

2022 The Role of Adaptation in Collective Human–AI Teaming
2023 Teaching agents to understand teamwork: Evaluating and predicting collective intelligence as a latent variable via Hidden Markov Models
2022 Coordination with humans via strategy matching
2023 Learning human contribution preferences in collaborative human-robot tasks
2025 Conformalized interactive imitation learning: Handling expert shift and intermittent feedback
2024 Multi-agent strategy explanations for human-robot collaboration
2024 Conformalized teleoperation: Confidently mapping human inputs to high-dimensional robot actions
2025 Optimal Interactive Learning on the Job via Facility Location Planning

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