An-chieh Cheng is a PhD candidate at UC San Diego and a research scientist intern at NVIDIA, with a decade of experience building multimodal foundation models focused on spatial understanding and actionable intelligence. Advised by Prof. Xiaolong Wang, he blends rigorous academic research with industry experience from internships at Adobe and Appier to push models toward real-world perception and interaction. His work targets generalizable spatial reasoning across modalities, aiming to make models not just descriptive but operationally useful. Based in San Diego, he brings a systems-minded approach informed by strong foundations in computer science and information systems from National Tsing Hua University. Notably, his profile reflects a consistent trajectory of translating research prototypes into applied ML systems within top-tier research and product teams.
10 years of coding experience
1 year of employment as a software developer
University of California, San Diego
Master's degree, Information Systems and Applications, Master's degree, Information Systems and Applications at National Tsing Hua University
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