Hi, I am a robotics and embodied AI researcher. Previously, I received my Bachelor of Science with the highest distinction from the National University of Singapore (NUS), advised by Prof. Bryan Low. I had a wonderful research experience at the Stanford Vision and Learning Lab (SVL), working on designing ideal scene representations for embodied AI by leveraging foundation models, as an undergraduate visiting research intern, where I was grateful to be advised by Prof. Jiajun Wu and Prof. Yunzhu Li. After that, I had also been a research assistant at the Robotic Perception, Interaction, and Learning Lab (RoboPIL) working with Prof. Yunzhu Li on action-conditioned scene graph building via interactive exploration for robotic manipulation, incorporating the large multimodal model (LMM).

My research lies at the intersection of robotics, computer vision, and machine learning. Specifically, I focus on Embodied AI and aim to develop novel algorithms that enable robots to better perceive, understand, and learn from multimodal information in their interactions with the physical world, and autonomously acquire the perception and manipulation skills necessary to execute complex tasks, ultimately achieving human-level performance in various scenarios, ranging from industrial applications to daily life assistance.