Chen Jin
Associate Director, AI Scientist Computer Vision
Stony Stratford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolChen Jin is an Associate Director and AI Scientist specializing in computer vision and multimodal LLMs, with eight years of experience translating academic breakthroughs into regulated healthcare applications at AstraZeneca. He combines a strong publication record (ICLR, NeurIPS, MICCAI) and PhD-level expertise in digital rock analysis with hands-on innovation in diffusion models, self-supervised multimodal representations, and explainable, regulation-friendly AI. At UCL he led work that achieved SoTA results in attention-based adaptive sampling and cross-modal MRI→histology generation, improving accuracy while cutting compute dramatically. Chen is experienced in mentoring and leading research teams and uniquely bridges ultra-high-resolution medical imaging techniques with practical, safe AI deployment for clinical contexts.
8 years of coding experience
6 years of employment as a software developer
Heriot-Watt University Edinburgh Campus
Github Skills (28)
high-resolution10
downsampling10
segmentation9
numerical-analysis8
geospatial-analysis8
python8
clip8
evaluation7
ui-components7
semantic-segmentation7
machine-learning7
numerical-methods7
deep-learning7
data-analysis7
data-visualization7
Programming languages (4)
Github contributions (5)
lxasqjc/Foveation-Segmentation
Jul 2020 - Jan 2022
Contributions:20 commits, 15 pushes, 1 branch in 1 year 6 months
lxasqjc/Deformation-Segmentation
Aug 2021 - Dec 2022
PyTorch implementation of Learning to Downsample for Segmentation of Ultra-High Resolution Images
Contributions:29 commits, 2 PRs, 17 pushes in 1 year 4 months
pytorchsemantic-segmentationdeep-learningresolutionultra
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