Yu Sun
Medical Researcher at Peter MacCallum Cancer Centre
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolYu Sun is a Machine Learning Engineer with 11 years of Python-first experience, currently building ML solutions at Google after research roles at Comcast and internships across NLP, data engineering, and large-scale systems. He specializes in deep learning and NLP applied to image and medical imaging analysis, with hands-on expertise in TensorFlow, PyTorch, PySpark, and Hadoop ecosystems. A NYU-trained data scientist and Google-accredited AI developer, he blends research rigor with production deployment experience—designing stream-based active learning for chatbots and TB-scale visualization systems earlier in his career. Based in Washington, DC, Yu is comfortable moving models from prototype to production and has a knack for bridging research insights with practical, scalable engineering.
11 years of coding experience
3 years of employment as a software developer
Computational Biology, Computational Biology at Peking UniversityBachelor of Applied Science - BASc, Biochemistry, Bachelor of Applied Science - BASc, Biochemistry at Sun Yat-Sen UniversityThe University of Melbourne
Github Skills (28)
roi8
prediction7
medical-imaging6
dicom6
planning6
medical6
ctr6
dsc6
effort6
dce6
mri5
science5
robust5
inverse-problems5
pydicom5
Programming languages (2)
Github contributions (5)
sunyu0410/PyRegPipe
Apr 2020 - Mar 2021
Contributions:70 commits, 51 pushes in 11 months
sunyu0410/Cloud
Feb 2016 - May 2020
Contributions:15 pushes, 1 branch in 4 years 4 months
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