Junshen Xu
Applied Scientist at Amazon Web Services (AWS)
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJunshen Xu is an applied scientist at AWS with nine years of experience bridging cutting-edge ML research and production systems. He earned a PhD in EECS from MIT after a research trajectory spanning Tsinghua, Stanford, and MIT focused on medical imaging, generative models, and motion-robust 3D neural rendering. At AWS he now applies security-focused AI research, building on internships at Google and Meta where he worked on representation learning and recommendation systems. His work uniquely blends clinical-driven, semi-supervised learning techniques with practical deployment experience in large-scale recommendation and advertising systems. Known for advancing robust, efficient algorithms for noisy and multi-modal data, he brings both academic rigor and production-oriented pragmatism to applied ML problems. Based in Cambridge (MA), he combines deep domain expertise in medical imaging with recent emphasis on security AI at cloud scale.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Electrical Engineering and Computer Science, Master of Science - MS, Electrical Engineering and Computer Science at Massachusetts Institute of TechnologyBachelor of Engineering - BE, Engineering Physics, Bachelor of Engineering - BE, Engineering Physics at Tsinghua University
Chinese, English, Chinese
Github Skills (38)
image-reconstruction10
super-resolution10
neural-rendering10
segmentation10
image-registration10
3d-reconstruction10
jekyll-theme9
mri9
jekyll9
medical-imaging9
self-supervised-learning8
github-pages8
pytorch8
transformers8
deep-learning7
Programming languages (4)
Github contributions (5)
daviddmc/NeSVoR
Nov 2022 - Jan 2023
NeSVoR is a package for GPU-accelerated slice-to-volume reconstruction.
Contributions:5 releases, 18 commits, 2 PRs in 1 month
gpu3d-reconstructiondeep-learningimage-reconstructionimage-registration
daviddmc/numerical-analysis-toolbox
Nov 2017 - Nov 2022
Contributions:2 PRs, 126 pushes, 3 branches in 5 years
numerical-analysisanalysis-algorithmsmatlabalgorithms-implemented
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