Summary
Yiming Chen is a PhD student in Oxford’s Visual Geometry Group with nine years of experience at the intersection of machine learning, computer vision, and applied math. He builds spatially aware, generative world models and physics-informed AI, with applied work spanning clinical-grade IVUS segmentation (Geo-UNet, MLMI@MICCAI 2024, patented) to risk modeling at Goldman Sachs. An experienced educator and communicator, he has served as a TA and lecture assistant for core MIT courses in algorithms, probability, and introductory programming and created summer math curricula for talented high-school students. His internships include building open-source tooling for dataset quality (CleanVision) and visualization tools for label-error correction, reflecting a blend of research, product, and reproducible tooling. Interested in AI for health, safety, and science policy, he combines rigorous academic research with practical systems that bridge lab and industry. Notably, he pairs deep theoretical training in CS and math with hands-on impact across medical imaging, financial modeling, and education.
9 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Oxford
English, Chinese, French