About Me

I am a Sr. Research Scientist at the NVIDIA Spatial Intelligence Lab, where I specialize in constructing and rendering neural representations at scale. I hold a PhD from the Visualization & Interface Design Innovation Lab at UC Davis, an MS in Computer Graphics from the University of Utah, and a BS in Physics from the Hong Kong University of Science and Technology.

My expertise spans 3D neural reconstruction, real-time rendering, scientific visualization, and high-performance computing. I am highly proficient in parallel computing architectures—including CUDA and vectorized CPUs—as well as large-scale data management and automated workflow scheduling.

Recently, my research has focused on applying implicit neural networks to real-time rendering and scientific data compression, streamlining how we interact with massive datasets. Looking forward, I am passionate about integrating these networks with generative AI and large language models to pioneer new approaches to visual data exploration and advance modern computer graphics pipelines.