Hao Xu is an R&D image analysis lead based in Stockholm with eight years of experience at the intersection of computer vision, deep learning and biological imaging. He has progressed from PhD research in biological physics and quantum-dot fluorescence to applied roles building image analysis platforms and deployable ML pipelines for drug discovery, in situ sequencing and high-plex proteomics. Hao combines hands-on model development (segmentation, generative models, interactive ML) with product-focused delivery—leading platform strategy at Navinci after driving analytics for AstraZeneca and 10x Genomics. He is comfortable across the stack, having built browser-based annotation tools, automated microscopy workflows and backend processing for large bioimaging datasets. Colleagues rely on him to translate domain science into robust software and to spot gaps in data or methods that unlock new experiments. A less obvious strength is his background in optical instrumentation and microscopy, which gives him practical insight into how imaging hardware choices shape algorithm design.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biological Physics, Doctor of Philosophy (Ph.D.) Biological Physics at KTH Royal Institute of Technology
Master’s Degree Micro- and Solid-State Electronics, Master’s Degree Micro- and Solid-State Electronics at Nanjing University
Bachelor’s Degree Engineering Physics/Applied Physics, Bachelor’s Degree Engineering Physics/Applied Physics at Northeastern University (CN)
Contributions:3 commits, 1 PR, 2 pushes in 2 years 11 months
image-segmentationhpasegmentation
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