I am a Ph.D. student in Electrical and Systems Engineering at the University of Pennsylvania at the GRASP Lab. My research sits at the intersection of robotics, computer vision, embodied AI, and 3D scene representations.

My recent work focuses on making robotic systems reason about the physical world from rich visual representations. I am especially interested in Gaussian Splatting, vision-language-action models, simulation, and perception methods that help robots move from visual understanding to reliable physical interaction.

Before starting my Ph.D., I earned a B.S. in Electrical and Computer Engineering from the University of Pittsburgh. I am also an NSF Graduate Research Fellow.

Research

• Robotics and embodied AI
• Computer vision and 3D scene understanding
• Gaussian Splatting for physical property estimation and simulation
• Vision-language-action models for manipulation

Selected Work

• PhysGS: Bayesian-inferred Gaussian Splatting for estimating physical properties from visual data.
• Splatblox: traversability-aware Gaussian Splatting for outdoor robot navigation.
• EveryDayVLA: a vision-language-action model for affordable robotic manipulation.

You can find a fuller publication list on my Google Scholar profile.