Xiao Da

Boston, Massachusetts, United States
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Summary

👤
Senior
Xiao Da is a scientist and imaging-focused data strategist with 11+ years applying advanced image processing, machine learning, and high-performance/cloud computing to clinical trials and neuroimaging research. She has built end-to-end multimodal imaging platforms and scalable ETL pipelines for MRI, PET, MRS and microscopy data, translating biomarkers into regulatory-ready outcomes including FDA Breakthrough Device support and a pivotal Phase 3 trial. Her work spans neurodegeneration, oncology, and psychiatric disorders—developing reproducible pipelines (Docker/HPC/AWS), novel MRS quantification approaches, and AI models that predict clinical trajectories and streamline patient selection. A collaborative leader and mentor, she blends hands-on algorithm development with trial operations, vendor KPIs, and cross-disciplinary partnerships to keep QC-failure rates under 5%. Notably, she validated spectral fitting across species (macaque to human) to improve GABA quantification reproducibility, highlighting a rare combination of translational rigor and production-scale engineering.
code11 years of coding experience
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Github Skills (19)

qt10
image-processing10
segmentation10
medical-imaging10
vtk10
cross-platform9
python9
slicer9
computed-tomography9
medical-image-computing9
neuroimaging9
dsc7
contrast6
mri6
modeling4

Programming languages (2)

C++Python

Github contributions (5)

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stevedaxiao/ExtensionsIndex

Apr 2015 - Jan 2016

Contributions:8 pushes, 12 branches in 8 months
extensionsslicerindex
stevedaxiao/T1_Mapping_CPP

Jun 2015 - Sep 2015

Contributions:6 pushes, 1 branch in 2 months
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Xiao Da