Me

I am currently a postdoctoral researcher at LAAS-CNRS in Toulouse, France. I received my MS and PhD from Carnegie Mellon in 2022 and 2024, respectively, and BE from Vanderbilt University in 2020. During my PhD, I worked with Dr. Aaron Johnson in the Robomechanics Lab at Carnegie Mellon University.

I work at the intersection of control theory, machine learning, and social factors. My work focuses on enabling robots to operate safely and robustly in complex, public environments by explicitly accounting for uncertainty in perception, dynamics, and interaction. I develop methods that combine model-based approaches such as optimal control, state estimation, and sensitivity analysis with learning-based techniques including reinforcement learning and world models. I also study how robots interact with human-centered environments, integrating social, legal, and infrastructural considerations into system design. My goal is to build autonomous systems that are not only capable, but also reliable, interpretable, and aligned with societal expectations.

Here is my research output that I have worked on: