About Me

I am a Ph.D. student in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, advised by Professor Siddhartha Srinivasa (Personal Robotics Lab) and Professor Dieter Fox (Robotics and State Estimation Lab). My research interests are in the areas of perception, representation, and planning for robot manipulation.

Before my Ph.D., I completed my Bachelor of Applied Science in Engineering Science with a specialization in Robotics and a minor in AI at the University of Toronto. There, I conducted research on Learning-based Perception for Transparent Objects, advised by Prof. Animesh Garg (People AI and Robotics Lab) and Prof. Florian Shkurti (Robot Vision and Learning Lab). Apart from my academic pursuits, I have worked as a research intern at Huawei Technologies R&D Canada, computer vision intern at EATLAB, and undergraduate research assistant at the National University of Singapore.

I have been honored to receive the CRA Outstanding Undergraduate Research Award - Honourable Mention and the National Undergraduate Research Award (NSERC USRA) in 2022 and 2021, respectively.

I have had the priviledge to work with some amazing collaborators, and am always looking for motivated students and new collaborations. Drop me an email if you are interested!

Recent News

  • October 2023: Our work, NEWTON, a dataset and benchmark to evaluate LLMs’ physical reasoning capabilities, accepted at EMNLP 2023, see you in Singapore!
  • September 2023: Our work, AR2D2, a AR-based method for collecting robot demonstrations, accepted at CoRL 2023, see you in Atlanta!
  • August 2023: Invited as reviewer for ICRA 2024 and HRI 2024
  • April 2023: Awarded the NSERC PGSD Fellowship for my Graduate Studies
  • April 2023: Invited as reviewer for CoRL 2023
  • March 2023: TAing for CSE478, Autonomous Robotics
  • March 2023: Paper accepted at ICRA 2023 Workshop
  • March 2023: Serving as reviewer for ICCV 2023
  • Jan 2023: Selected to attend CRA-WP Workshop
  • Jan 2023: Our work, MVTrans, a novel multi-task perception framework & photorealistic dataset, accepted at ICRA 2023
  • Jan 2023: Serving as reviewer for CVPR 2023
  • Nov 2022: Serving as reviwer for ICRA 2023
  • Aug 2022: Serving as reviewer for ECCV 2022
  • July 2022: Serving as reviewer for CoRL 2022
  • June 2022: Graduated from the University of Toronto Engineering Science program
  • April 2022: Accepted my offer to join UWashington for Ph.D. in CS
  • Jan 2022: Received CRA Undergraduate Research Award (Honourable Mention)
  • Sept 2021: Our work, TranspareNet, a encoder-decoder based depth estimation method and real-world data-collection and annotation pipeline, accepted at CoRL 2021 for Oral Presentation
  • April 2021: Received the National Undergraduate Research Award (NSERC-USRA)