I am starting as an Assistant Professor at MIT in Fall 2024!
I am recruiting PhD students for Fall 2024!
I am a Research Scientist at the Boston Dynamics AI Institute. I work at the intersection of robotics, mathematical human modeling, and deep learning. In my research, I study algorithmic human-robot interaction, with a focus on how robots and humans can efficiently arrive at shared representations of their tasks for more seamless and reliable interaction. I ground my work in experiments with robotic systems like assistive robot arms and in user studies with real human participants.
I was awarded the Emerging Research Award at the International Symposium on the Mathematics of Neuroscience!
Organizing a workshop on "Interactive Learning with Implicit Human Feedback" at ICML 2023.
New paper accepted to CDC on "Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning", where we propose a method for repairing feature representations to better generalize across states!
I accepted a visiting Research Scientist position at the Boston Dynamics AI Institute starting August 2023!
I gave an invited talk at the CHAI Workshop.
I published a patent with the NVIDIA Robotics team on a new concept training technique for machine learning based on our paper on "Learning Perceptual Concepts by Bootstrapping from Human Queries"!
New paper accepted to ICML, "Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-time Policy Adaptation", where we propose a human-in-the-loop framework for robots to recover from distribution shift failures.
Giving an invited talk at the Microsoft Research Seminar Series.
Giving an invited talk at the Robotics Colloquium at UW.
Giving an invited talk at the New Trends in Aerospace Seminar Series at MIT.
New paper accepted to HRI, "SIRL: Similarity-based Implicit Representation Learning", where we enable robots to learn salient feature representations by asking humans to gauge how similar different behaviors are.
I gave an invited talk at the Robotics Seminar at Cornell.
I was invited to speak at University of Utah's CS 6960: Human-AI Alignment graduate course.
I gave an invited talk in the Robot Autonomy and Interactive Learning (RAIL) Lab at Georgia Tech.