Biography

I am a researcher at the University of Maryland, College Park, focused on the intersection of computer vision, geometry processing, and geospatial data analysis. My research centers on neural representations of geospatial data, combining implicit neural modeling, topology-aware analysis, and generative frameworks to enable interpretable, continuous, and scalable representations of the physical world. I am motivated by interdisciplinary collaboration that bridges machine learning, graphics, and scientific computing.

Looking ahead, I want to carry this work toward spatial intelligence: machines that reason about the physical world through geometry rather than pixels alone. I am especially drawn to world models built on explicit 3D representations — implicit neural fields, Gaussian splats, and triangulated meshes — where the scene structure is something you can query, differentiate, and edit.

During my BEng and MPhil at Hong Kong University of Science and Technology, I was gratefully advised by Prof. Long Quan in 3D computer graphics and vision. Currently, I am gratefully advised by Prof. Leila De Floriani.

Please reach out to chat and collaborate 😆!