Shiwen Shen
Tech Lead Manager, Applied Machine Learning at Apple
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolShiwen Shen is a Tech Lead Manager in Applied Machine Learning at Apple with a decade of experience building production ML systems and research-grade models across healthcare, finance, and large-scale consumer products. She holds a PhD in Medical Imaging Informatics from UCLA and has a strong track record translating deep learning and Bayesian methods into measurable impact—e.g., improving prostate cancer prediction by 20% and shipping an automatic lung nodule detection system. Her background spans industry research roles at JD.com, PayPal, and Uber, where she introduced early deep learning solutions that reduced prediction error and supported financial forecasting. Shiwen maintains seven public GitHub repositories focused on domain-specific ML topics (vision, feature engineering, time series, Bayesian modeling), and she is named on four patents with 12 publications. Known for bridging rigorous statistical modeling with production engineering, she codes fluently in Java, Python (TensorFlow/PyTorch/Keras), C/C++, and R. Based in Sunnyvale, she blends hands-on research, team leadership, and product delivery to deploy high-dimensional data solutions at scale.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Medical Imaging Informatics, Doctor of Philosophy - PhD, Medical Imaging Informatics at University of California, Los Angeles
Github Skills (19)
c-extension8
vscode-extension8
typescript7
baidu7
cpp7
ray6
vscode6
keras6
microsoft6
deep-learning5
machine-learning5
spark5
pytorch5
keras-tensorflow5
mxnet4
Programming languages (3)
Github contributions (5)
Contributions:7 commits, 5 pushes, 1 branch in 1 year 2 months
Contributions:7 commits, 2 PRs, 5 pushes in 4 months
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