I lead AI at GrayMatter Robotics, where I work at the intersection of Physical AI, robotics, and manufacturing. My focus is on building intelligent systems that enable robots to understand their environment, reason about physical processes, learn from experience, and adapt autonomously to the variability of real-world production.

At GrayMatter, I lead Factory Superintelligence efforts spanning world models, simulation and synthetic data, learning-based manipulation, autonomous commissioning, and AI agents for manufacturing. A central theme of my work is closing the gap between what robots can demonstrate in controlled environments and what is required for them to operate reliably, autonomously, and at scale in production.

Previously, I earned my Ph.D. in Robotics from the University of Southern California, where I was part of the Realization of Robotics Systems Lab (RRoS), advised by Dr. Satyandra K. Gupta. My research focused on integrating physics-informed learning methods into robotic manipulation, with an emphasis on generalization, intuitive physics-based reasoning, and data efficiency in handling complex deformable objects ( Link to Dissertation ).

Before my Ph.D., I led multiple industry-funded robotics projects at USC as a Master’s student and spent two years as a Robotics Engineer at Rolls-Royce in Singapore..

Download my CV .