Recipient of the Stern Family Graduate Research Fellowship from Tufts University (2020)
Multiple publications at top-tier conferences including HRI, RO-MAN, HAI, and MICCAI, such as:
- CHARM: Considering Human Attributes for Reinforcement Modeling (RO-MAN 2025)
- Leveraging Variation in Human Feedback Expression to Enable Natural Human Teaching for Robots (HRI 2025)
- On the Effect of Robot Errors on Human Teaching Dynamics (HAI 2024)
- Modeling Variation in Human Feedback with User Inputs (HRI 2024)
- Mental Synchronization in Human Task Demonstration (HRI 2021)
- Building a Better Oracle: Using Personas to Create More Human-Like Oracles (HRI 2021 Workshop)
- Modeling Human Feedback Behavior for Interactive Reinforcement Learning (HRI 2022 Workshop)
- Reconstructing Sinus Anatomy from Endoscopic Video (MICCAI 2020)
Served as a student volunteer at HRI 2021
Background
Ph.D. candidate in the Department of Computer Science at Tufts University
Research interests include Human-Robot Interaction (HRI) and Human-centered AI
Focuses on understanding and modeling human behavior in interactive learning systems to enable robots/AI agents to adapt to diverse human inputs and preferences
Passionate about leveraging AI for accessibility and social good, especially in healthcare and education
Encourages students from underrepresented groups to reach out and prioritizes such meetings