Lei Tong is a postdoctoral fellow and AI researcher at AstraZeneca with nine years’ experience applying computer vision and biomedical image analysis to real-world problems, including open set recognition for robust model deployment. Holding a PhD in Computer Vision from the University of Leicester, Lei transitioned from healthcare-focused engineering—developing Realsense-based assessments for shoulder disease—to industrial research work within AstraZeneca’s Quantitative Biology Imaging Group. They bridge academic rigor and applied drug-discovery needs, contributing to imaging pipelines and quantitative methods that translate into practical assays. Based in Cambridge, Lei combines hands-on prototyping, teaching experience, and industry collaborations to deliver reproducible, production-ready models that anticipate novel clinical variations.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at University of Leicester
# Inverse boosting pruning trees The Inverse boosting pruning trees code should be compiled with scikit-learn 0.18.0 (This code will be updated later and be compatible with new version of sklearn)
Contributions:32 commits, 1 PR, 38 pushes in 2 years 4 months
Contributions:10 commits, 11 pushes, 1 branch in 1 year 6 months
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