I am a Postdoctoral Research Associate at Princeton University working on robotics, control theory, neuromorphic decision-making, and game theory. I study how robots can make fast, reliable decisions and coordinate in challenging real-world environments using only local sensing and minimal onboard resources. My work develops decentralized frameworks for multi-agent systems that operate without GPS, WiFi, explicit communication, or centralized coordination. Instead of relying on long-horizon optimization or repeated replanning, I am interested in continuous adaptation through dynamical interaction rules, where safe and coordinated collective behavior emerges online from local information. More broadly, my research explores how these mechanisms can support scalable environment monitoring and autonomous operation in the wild.
I am currently working with Prof. Naomi Leonard at Princeton. I did my PhD at Cornell University with Prof. Hadas Kress-Gazit, and my Bachelor's and Master's in Aerospace Engineering at IIT Bombay. I have also collaborated with the Cohen Group and Laboratory for Molecular Engineering on autonomous micron-scale origami robots.
Outside of work I run, hike, and read — mostly about world affairs, human psychology, and philosophy of science.
My research asks a common question across scales and platforms: how can robots make fast, reliable, and provably safe decisions when sensing, computation, communication, or actuation are limited? I approach this through tools from control theory, nonlinear dynamics, and collective intelligence, with an emphasis on decentralized algorithms that remain both mathematically analyzable and practically deployable. Research statement →