I’m a researcher at the NVIDIA Toronto AI Lab, where I build and scale neural representations. I received my PhD from UC Davis. My expertise centers on 3D rendering, scientific visualization, and high-performance computing—leveraging parallel hardware like CUDA, vectorized CPUs, and supercomputers to manage large-scale data and automate adaptive workflows. I’m also exploring implicit neural networks for real-time rendering and data compression, and I’m excited to integrate these methods with large language models and generative AI to push the boundaries of scientific visualization and computer graphics.

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