Jun Liu is an AI research leader focused on medical image analysis, currently the Head of AI R&D at iMEDWAY Technology where he designs multi-modal AI architectures and guides clinically aligned delivery. He brings 10 years of experience spanning research and industry, translating state-of-the-art ML/DL into robust production pipelines for X-ray, CT, and MRI modalities. Previously, he built large-scale medical datasets and deployed ML models into clinical products as an AI Research Scientist at Infervision, and contributed to multimodal data workflows as a Senior Algorithm Engineer at Li Auto. An active Kaggle competitor, he earned Silver Medals in SenNet+HOA and Humpback Whale challenges, placing in the top 4%. A Master’s in Applied Statistics from Capital Normal University underpins his rigorous, data-centric approach to trustworthy AI in healthcare. Based in Hunan, China, Jun is passionate about leveraging AI to improve diagnosis and patient outcomes in the evolving healthcare ecosystem.
10 years of coding experience
3 years of employment as a software developer
Master’s Degree, Applied Statistics, School of Mathematical Sciences, A, Master’s Degree, Applied Statistics, School of Mathematical Sciences, A at Capital Normal University
Contributions:4 pushes, 1 branch in 5 years 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.