Hi, I am a Robotics PhD candidate, advised by Matthew Gombolay, in the CORE Robotics Lab at the Georgia Institute of Technology. My main research areas are
human-robot interaction and
machine learning with a focus on learning from demonstration and
personalization. My thesis research investigates how to improve learning from demonstration for real-world scenarios (e.g., when robots fail or when human demonstrators are suboptimal). I’m interested in designing robot algorithms that are easy for everyday users to interact with, teach, and personalize for applications such as in-home robots or out-patient care.
This year, I was awarded the P.E.O. Scholar Award, a merit-based award for women with potential for having a positive impact on society. Previously, I received the NSF Accessibility, Rehabilitation, and Movement Science (ARMS) fellowship to study healthcare robotics for the first two years of my PhD. Before starting my PhD, I graduated from Bucknell University in 2017 with a BS in Computer Engineering and worked at Johns Hopkins University Applied Physics Lab. In my free time, I enjoy ceramics, hiking with my two dogs, and fantasy books.
|Oct 11, 2023||Presented at the Robo-shop workshop for TED Women 2023.|
|Jul 11, 2023||Our paper Investigating the Impact of Experience on a User’s Ability to Perform Hierarchical Abstraction was nominated for Best Student Paper at RSS 2023.|
|Jun 15, 2023||Received the PEO Scholar Award! Georgia Tech press release here.|
|Mar 13, 2023||Presented at HRI Pioneers 2023 workshop! Read my paper here.|
|Dec 17, 2022||Presented our paper Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal Teaching at CoRL 2022.|
- HRI Pioneers ’23Investigating Learning from Demonstration in Imperfect and Real World ScenariosIn Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, Mar 2023
- CoRL ’22Reciprocal MIND MELD: Improving Learning From Demonstration via Personalized, Reciprocal TeachingIn Proceedings of The 6th Conference on Robot Learning, Dec 2023
- HRI ’22MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation LearningIn 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Mar 2022*co-first authors. Best Technical Paper Award
- HRI ’21The Effects of a Robot’s Performance on Human Teachers for Learning from Demonstration TasksIn Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, Mar 2021
- HRI ’23Impacts of Robot Learning on User Attitude and BehaviorIn Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, Mar 2023