Evan Yu
Staff Machine Learning Engineer at Iterative Health
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolEvan Yu is a Staff Machine Learning Engineer based in Cambridge, MA with eight years of experience applying deep learning to medical imaging and computer vision. He holds a PhD from Cornell where his thesis focused on deep learning methods for MRI analysis, and has progressed through research and industry roles from biomedical imaging labs to R&D at HP and product-focused ML engineering at Iterative Health. At Iterative Health he has advanced rapidly from Machine Learning Engineer II to Staff, driving clinical-grade ML solutions for medical imaging pipelines. Evan blends academic rigor with production experience, routinely translating MRI research into deployable models for healthcare settings. Outside standard roles, he maintains a public research presence (EvanMY.io) and is completing a PhD while shipping real-world ML systems.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Stony Brook University College of Engineering and Applied SciencesDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Cornell University
cantonese (conversational), Spanish, English
Github Skills (26)
midl10
image-registration9
robust9
mri9
python-bindings8
segmentation8
heart-rate8
normalization7
multimodal7
medical-image-segmentation7
biometrics7
medical-imaging6
deep-learning6
neuroimaging6
python6
Programming languages (3)
Github contributions (5)
evanmy/sae
Apr 2020 - Apr 2021
Accepted in MIDL 2020
Contributions:1 review, 12 commits, 1 PR in 1 year
medical-image-segmentationmriimage-registrationmidlsegmentation
evanmy/conditional_deformation
Aug 2020 - Oct 2020
Contributions:8 commits, 7 pushes, 1 branch in 1 month
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