Hanyang Liu
Machine Learning Engineer at Snap Inc.
St. Louis, Missouri, United States
Summary
👤
Senior🎓
Top SchoolHanyang Liu is a Machine Learning Engineer and PhD in Computer Science candidate with eight years' experience building reliable AI systems for healthcare and large-scale production environments. His research blends deep learning on multimodal EHR data with contrastive representation learning to improve clinical prediction and decision support, producing publications at KDD, AAAI, IJCAI and a Best Student Paper at RTSS. At Meta he scaled heterogeneous treatment-effect frameworks and auto-tuning platforms to worldwide production, and now applies agentic AI, RAG, and causal/uplift modeling at Snap to optimize audience and frequency strategies. He combines rigorous academic grounding with hands-on engineering: designing scalable ITE architectures and accelerating platform training by 10× to unblock previously intractable studies. Based in St. Louis, he brings a rare mix of clinical ML expertise and production-grade systems design that bridges research and high-impact product deployment.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Electrical and Electronics Engineering, Bachelor of Science - BS Electrical and Electronics Engineering at Northwestern Polytechnical UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Washington University in St. Louis
Stackoverflow
1reputation
0reached
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Github Skills (30)
ranking10
simulator9
python9
machine-learning9
deep-learning9
react9
science9
computer-science9
deep-reinforcement-learning8
ros8
tensorflow8
gradient-boosting8
shapley8
shap8
unreal-engine-48
Programming languages (3)
Github contributions (5)
HanyangLiu/HiPAL
Feb 2022 - Jan 2023
Contributions:15 commits, 14 pushes, 1 branch in 10 months
HanyangLiu/SOGE
Aug 2017 - Oct 2020
Contributions:2 pushes, 1 branch in 3 years 1 month
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