Neng Shi is a research scientist at Meta AI with a Ph.D. in Computer Science from The Ohio State University and a decade of experience in data visualization, machine learning, and high-performance computing. His work bridges large-scale scientific visualization and deep generative models—ranging from view-dependent latent representations for regular grids to graph neural nets for unstructured ocean data and octree-point hybrids for particle prediction—plus production OpenGL renderers. He has applied these methods in climate and simulation contexts at Argonne and Los Alamos, and now contributes to ML co-design for ads ranking. Known for turning complex ensemble and multi-grid scientific data into actionable visual and learned representations, he blends applied research with production-minded engineering. Based in Sunnyvale, he is actively open to full-time and internship roles beginning Summer 2024 and welcomes brief technical conversations via his website.
10 years of coding experience
6 years of employment as a software developer
High School Diploma, High School Diploma at Shaoxing No.1 High School
Doctor of Philosophy - PhD, Computer Science and Engineer, 3.89/4.0, Doctor of Philosophy - PhD, Computer Science and Engineer, 3.89/4.0 at 美国俄亥俄州立大学
Bachelor's degree - BS, Geographic Information Science, 3.81/4.0, Bachelor's degree - BS, Geographic Information Science, 3.81/4.0 at 浙江大学
Contributions:35 pushes, 8 branches in 3 years 7 months
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