Yushi Yang
Algorithm Developer at MGI
Shenzhen, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolYushi Yang is an algorithm developer with 8 years of experience building machine learning pipelines for next-generation sequencers, specializing in deep learning models for NGS data. Currently at MGI in Shenzhen, she translates research-grade methods into production-ready algorithms that improve sequencing accuracy and throughput. Her background includes a PhD in Condensed Matter and Materials Physics from the University of Bristol, giving her strong quantitative modeling and experimental analysis skills that she applies to bioinformatics problems. She bridges academic rigor and industrial deployment, comfortable moving models from prototyping to integration with lab instrumentation. Colleagues rely on her ability to untangle complex signal-processing challenges and optimize ML pipelines under real-world constraints.
8 years of coding experience
Master of Engineering - MEng, Master of Engineering - MEng at Wuhan University of TechnologyPhD, Condensed Matter and Materials Physics, PhD, Condensed Matter and Materials Physics at University of Bristol
Stackoverflow
745reputation
25kreached
30answers
1question
Github Skills (50)
javascript9
ai-framework9
pytorch9
onnx9
hardware-acceleration9
machine-learning9
accelerator9
open-source9
scikit-learn9
keras9
deep-learning9
high-performance9
tensorflow8
cross-platform7
neural-network6
Programming languages (3)
Github contributions (5)
yangyushi/vim-config-yy
Apr 2018 - Sep 2024
Contributions:32 pushes, 1 branch in 6 years 5 months
yangyushi/nplocate
Jul 2020 - Apr 2022
Contributions:40 commits, 19 pushes, 1 branch in 1 year 9 months
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