I am a Research Scientist at Fundamental AI Research (FAIR) at Meta, working on Embodied AI. I am interested in working at the intersection of machine learning and robotics. My long-term research goal is to develop robots that are scalable, robust and capable of working in complex, real world environments.

I completed my Robotics Ph.D. at the Georgia Institute of Technology, advised by Dhruv Batra and Sonia Chernova. My PhD research was supported by the NSF Graduate Research Fellowship, Apple Scholars in AI/ML PhD Fellowship, Adobe Research Fellowship, and Google Women Techmakers Scholarship.

During my PhD, I was an intern at Apple, working with Walter Talbot, Miguel Angel Bautista, Alex Toshev, and Josh Susskind in 2023. In 2022, I was a student researcher at Google, working with Jie Tan, Wenhao Yu, and Tingnan Zhang. In 2021, I was an intern at NVIDIA, working with Clemens Eppner, Ankur Handa, and Dieter Fox. In 2020, I was an intern at FAIR (Meta), working with Akshara Rai.

As an undergrad, I worked in the Robotics and Intelligent Vehicles Research (RIVeR) lab at Northeastern University with Taskin Padir. During my time there, I competed at the 2019 RoboCup@Home competition in Sydney, Australia and the 2018 World Robot Summit in Tokyo, Japan.

I also had the pleasure of mentoring Max Rudolph (MS@GT -> UT Austin PhD Student), Simar Kareer (MS@GT -> GT PhD Student), and Marco Delgado (BS@GT).