Haoyu Geng
PhD Candidate
Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolHaoyu Geng is a PhD candidate in Computer Science at Shanghai Jiao Tong University with seven years of experience building algorithmic and recommendation systems. He has applied academic research to industry as an Algorithm Engineer at Meituan and as a research intern at UIUC, where he worked on context-aware recommender systems under Prof. Hari Sundaram. Based in Shanghai, Haoyu blends rigorous PhD-level methods with product-focused engineering to move models from prototype to production-style environments. His background suggests strengths in personalization, contextual modeling, and large-scale algorithm engineering. Though primarily academic, he has practical experience in fast-paced industry settings, indicating an ability to bridge research and real-world deployment. Haoyu’s profile reflects a researcher-engineer comfortable iterating on both theoretical models and their applied engineering constraints.
7 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Shanghai Jiao Tong University
Github Skills (15)
combinatorial-optimization10
operations-research10
optimization9
machine-learning9
matrix-factorization6
collaborative-filtering6
recommendation-engine6
recommendation-system5
recommender5
recommender-system4
multimodal3
python3
pytorch3
daml2
deep-learning2
Programming languages (1)
Github contributions (5)
hygeng/Rec_baseline
Jun 2020 - Nov 2021
Contributions:31 commits, 61 pushes, 3 branches in 1 year 5 months
hygeng/personal-website
Nov 2020 - Jan 2023
Contributions:73 pushes, 1 branch in 2 years 2 months
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