Summary
Ningli X is a Machine Learning Engineer with eight years of experience specializing in perception, multimodality, and generative AI, currently building foundational ground-to-aerial algorithms at Zoox. He develops 3D alignment and point-cloud matching, image-level geo-localization, and novel ground-view synthesis from aerial data using NeRF and related generative models. With a PhD and MEng from The Ohio State University and a background in automation from Nanjing University of Science and Technology, he bridges rigorous research with production-focused engineering. His GitHub research emphasizes 3D reconstruction, photogrammetry, and novel view synthesis, reflecting deep domain expertise in spatial AI. Based in Columbus, Ohio, he combines academic depth with practical deployment experience in autonomous perception stacks. An interesting facet: he focuses on translating aerial-to-ground scene understanding, a niche that enables cross-view world modeling rarely addressed end-to-end in industry.
8 years of coding experience
Bachelor's degree Automation, Bachelor's degree Automation at Nanjing University of Science and Technology
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at The Ohio State University