Michelle Zhao is an Assistant Professor of Computer Science in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. She received her Ph.D. at Carnegie Mellon University in the Robotics Institute, where she was advised by Professors Henny Admoni and Reid Simmons. She studies human-robot interaction, with an emphasis on how robots can learn from and about people. Her research integrates methods from statistical uncertainty quantification, machine learning, and human-robot interaction to develop theoretical frameworks and practical algorithms for active learning from human feedback in domains like assistive robotic manipulation. Prior to her Ph.D., she earned her B.S. at the California Institute of Technology. She is the recipient of the Siebel Scholarship, Rising Stars in Computational and Data Sciences, the NDSEG Research Fellowship, HRI Pioneers 2025 Honorable Mention, and has worked at Toyota Research Institute.
