Di Mao is a software development engineer with nine years of experience who blends full-stack engineering at Amazon with academic research in computational modeling for surgical guidance. Graduating at 19 with dual BS degrees in Computer Science and Neuroscience from the University of Washington, Di has built end-to-end production tooling for seller-billing workflows and prototyped GenAI on-call assistants. Their research spans NeRF-based deformable tissue modeling and 3D reconstruction/registration, with hands-on work in micro-CT surface segmentation and MONAI-based pipelines at Seattle Children’s. Comfortable moving between production systems and clinical-grade imaging research, Di brings a rare mix of early technical maturity, practical deployment experience, and a passion for translating computational vision models into real-world healthcare tools.
9 years of coding experience
Bachelor of Science, Double major in Computer Science and Neuroscience, Bachelor of Science, Double major in Computer Science and Neuroscience at University of Washington
Contributions:2 PRs, 6 pushes, 4 branches in 2 years 3 months
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