Published papers including 'RobotMover: Learning to Move Large Objects From Human Demonstrations'; Organized workshops such as Agile Robotics: From Perception to Dynamic Action at ICRA 2024 and EmbodiedAI Workshop at CVPR 2024; Received awards like Georgia Tech College of Computing Outstanding Graduate Research Assistant Award, Adobe Research Fellowship, etc.
Research Experience
Currently a Research Scientist at Fundamental AI Research (FAIR) at Meta, working on Embodied AI; Summer 2023 intern at Apple, working with Walter Talbot, Miguel Angel Bautista, Alex Toshev, and Josh Susskind; Summer 2022 student researcher at Google, working with Jie Tan, Wenhao Yu, and Tingnan Zhang; Summer 2021 intern at NVIDIA, working with Clemens Eppner, Ankur Handa, and Dieter Fox; Summer 2020 intern at FAIR (Meta), working with Akshara Rai; Undergraduate work at the Robotics and Intelligent Vehicles Research (RIVeR) lab at Northeastern University, competing in the 2019 RoboCup@Home competition in Sydney, Australia, and the 2018 World Robot Summit in Tokyo, Japan.
Education
Ph.D. in Robotics from Georgia Institute of Technology (2019-2024), advised by Dhruv Batra and Sonia Chernova; B.S. in Computer Engineering from Northeastern University (2014-2019).
Background
Research interests: at the intersection of machine learning and robotics. Long-term research goal is to develop robots that are scalable, robust, and capable of working in complex, real-world environments.
Miscellany
Mentored students: Max Rudolph (MS@GT -> UT Austin PhD Student), Simar Kareer (MS@GT -> GT PhD Student), and Marco Delgado (BS@GT).