Xiaofeng Liu
Engineer at Two Sigma
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolXiaofeng Liu is an engineer with 12 years of experience applying machine learning and advanced image analysis to medical imaging, computer-aided diagnosis, and image-guided intervention. He held research and leadership roles from Johns Hopkins and NIH to GE Global Research before moving into large-scale ML systems at Google and quantitative engineering at Two Sigma. His technical strengths include MR imaging, tomosynthesis, motion analysis, image registration and segmentation, plus practical expertise with C-arm fluoroscopy and optical/magnetic tracking. Xiaofeng bridges deep academic training (PhD, Johns Hopkins) with production-grade ML and streaming data engineering, enabling translation of novel algorithms into robust systems. He is particularly adept at combining vector spline interpolation and motion-aware registration to improve image-guided procedures—an intersection of theory and hands-on clinical imaging. Based in New York, he brings a rare mix of medical imaging research, enterprise ML experience, and proven delivery in high-stakes environments.
12 years of coding experience
10 years of employment as a software developer
BE, Automatic Control, BE, Automatic Control at University of Science and Technology of ChinaJohns Hopkins UniversityMS, Computer Science, MS, Computer Science at Vanderbilt UniversityME, ME at Chinese Academy of Sciences
Github Skills (13)
vtk8
segmentation7
image-processing7
medical-imaging6
unc6
python6
neuroimaging6
atlas5
computed-tomography5
cross-platform4
medical-image-computing4
qt4
slicer2
Programming languages (1)
Github contributions (2)
BrainMeasurement/MultiAtlas
Aug 2013 - Jan 2014
Contributions:12 commits in 5 months
technique3d-sliceratlasunc3d-slicer-extension
Slicer/ExtensionsIndex
Jan 2014 - Jan 2014
Slicer extensions index
Contributions:2 commits in 7 days
pythonextensionsvtkneuroimagingnational-institutes-of-health
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