Summary
Tim Cheng is a research scientist specializing in generative models, currently at Netflix after a D.Phil. at the University of Oxford and internships at Stability AI and Adobe. Over nine years he has built a strong research-to-production track record in 3D-aware image generation, large-scale unannotated data mining (3DMiner, ICCV 2023), and practical system implementations from node.js render pipelines to lightweight 3D reconstruction. His work sits at the intersection of computer vision and generative AI, applying rigorous academic methods to industry-scale problems and shipping models that bridge 2D and 3D understanding. Based in Oxford, he combines deep theoretical training with hands-on engineering, and has a pattern of moving ideas from papers to production during short, impactful internships. Notably, his background spans both HCI and robotics projects, giving him practical systems instincts that complement his research focus.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Oxford
High School Degree, High School Degree at Taipei European School
Exchange Computer Science, Exchange Computer Science at EPFL
Hong Kong University of Science and Technology (HKUST)
Chinese, English, Chinese