Ph.D. Student in Robotics at Georgia Tech
B.S. and M.S. Electrical Engineering
Concn. in Machine Learning & Computer Vision
I am currently a 3rd year Robotics Ph.D. student at Georgia Tech advised by Dhruv Batra and Sehoon Ha. Previously, I graduated with my BS and MS from Northeastern University. My research interests involve scalable learning methods that will teach robots to effectively perceive and interact within various environments in the real world by training them within realistic simulators before transferring the learned skills to reality.
During my PhD, I've interned at Amazon with Gaurav Sukhatme on deep reinforcement learning for robotics with reward decomposition (Summer 2022), and at Meta AI with Akshara Rai on mobile manipulation for object rearrangement (Summer 2021).
Previously I also worked with Taskin Padir in the Robotics and Intelligent Vehicles Research (RIVeR) lab at Northeastern University. There, I led Team Northeastern in mutiple international robotics competitions such as the 2019 RoboCup@Home competition in Sydney, Australia, the 2018 World Robot Summit in Tokyo, Japan, and the Robocup@Home 2018 in Montreal, Canada, where we placed 4th internationally and 1st in the USA.
Dynamics-aware training and evaluation for navigation. Demonstrated that trained agents better leveraged the dynamics of the robot to be faster than previous work, both within simulation and in the real world.
System Architecture for Autonomous Mobile Manipulation of Everyday Objects in Domestic Environments