Yu-ren Liu
Machine Learning Researcher at 美团
Nanjing City, Jiangsu, China
Summary
👤
Senior🎓
Top SchoolYu-Ren Liu is a Machine Learning Ph.D. candidate at Nanjing University and a researcher-practitioner focused on causal reinforcement learning, bringing ten years of experience across academic research and industry roles. He has first-author publications at top conferences like NeurIPS and translates theory to practice as a Machine Learning Researcher at Meituan, where he develops methods to identify causal latent variables for order-delivery decision-making and is preparing A/B tests for production validation. Previously he interned as a Quantitative Researcher building a distributed, derivative-free factor search system in Julia for the Chinese A-share market, reflecting a strong cross-domain interest in ML and quantitative finance. Notably, he cleared CFA Level I and FRM Level I in an intense three-week period, underscoring fast learning and quantitative rigor. Based in Nanjing, he seeks a hedge-fund internship in China starting Jan 2024 and maintains an active research profile via his LAMDA group webpage.
10 years of coding experience
博士, 机器学习, 博士, 机器学习 at 南京大学
Github Skills (10)
machine-learning10
python10
optimization10
julia8
ranking8
science7
computer-science7
react7
asynchronous5
hyperparameter-optimization2
Programming languages (3)
Github contributions (5)
AlexLiuyuren/myos
Mar 2016 - Apr 2017
Contributions:24 commits, 5 pushes, 1 branch in 1 year 1 month
eyounx/ZOOclient.jl
Jul 2017 - Jan 2019
Client of distributed ZOOpt in Julia
Contributions:5 releases, 119 commits, 97 pushes in 1 year 6 months
juliaderivative-freeoptimizationmachine-learning
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