Xinyang Feng
Staff Research Scientist at Meta
Mountain View, California, United States
Summary
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Senior🎓
Top SchoolXinyang Feng is a Staff Research Scientist based in Mountain View with 11 years of experience applying deep learning and computer vision to real-world problems, currently shaping ads ranking models at Meta. Trained as a Ph.D. candidate in biomedical engineering at Columbia, he brought clinical-scale impact to medical imaging—ranking 14th out of 1,972 in the Kaggle Data Science Bowl for lung cancer prediction—and published robust 3D CNN and Mask R-CNN adaptations for disease and cellular-level image analysis. His background spans unsupervised video anomaly detection with GANs and neuroimaging studies using EEG/fMRI, giving him a rare blend of production ML at scale and deep domain expertise in medical image analytics. Colleagues describe him as research-driven yet product-minded, able to move novel models from prototype to high-throughput systems.
11 years of coding experience
2 years of employment as a software developer
M.S./Ph.D. Biomedical/Medical Engineering, M.S./Ph.D. Biomedical/Medical Engineering at Columbia UniversityBachelor of Science (B.S.) Biomedical/Medical Engineering, Bachelor of Science (B.S.) Biomedical/Medical Engineering at Shanghai Jiao Tong University
Chinese, EnglishGithub contributions (5)
fengcls/neuroimaging-datasets
Jul 2019 - Feb 2022
Contributions:11 commits, 2 pushes in 2 years 8 months
fengcls/coursera_misc
Jan 2015 - Dec 2017
Contributions:5 pushes, 1 branch in 2 years 10 months
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