Shaoliang N is a research scientist based in the San Francisco Bay Area with a decade of experience at the intersection of visual analytics and deep learning, currently working on GenAI research at Meta. He designs interactive visualization systems and external representations to help people interpret, explore, and understand complex models, especially neural networks. With a PhD in Computer Science from North Carolina State University and a background in optoelectronics and electrical engineering, he brings both rigorous research training and cross-disciplinary technical intuition. Known for viewing visualization as a cognitive augmentation—akin to language or musical notation—he focuses on making deep learning more transparent and human-centered.
10 years of coding experience
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at North Carolina State University
Bachelor’s Degree Optoelectionics, Bachelor’s Degree Optoelectionics at Tianjin University
Visiting Student Electrical Engineering, Visiting Student Electrical Engineering at National Tsinghua University
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