Liu Ming
Assistant Professor at The Chinese University of Hong Kong, Shenzhen 香港中文大学（深圳）
College Park, Maryland, United States
Summary
👤
Senior🎓
Top SchoolLiu Ming is an Assistant Professor with a decade of experience specializing in modeling and empirical research on dynamic pricing and sharing-economy systems. Trained in Industrial & Operations Engineering and Applied Statistics at the University of Michigan, he blends rigorous stochastic modeling and dynamic programming with practical data-platform and database integration skills developed across academic and industry research projects. His prior work includes implementing advanced reinforcement-learning algorithms (Greedy-GQ) for large-state stochastic processes and designing Markov decision process models for healthcare screening policies, demonstrating a rare mix of theoretical depth and applied impact. Comfortable with big-data tooling such as Java, Hadoop, and Spark, he also has hands-on experience building Oracle–SAS interfaces and data pipelines for industrial partners. Based in College Park, Maryland, he brings a research-driven approach to translating complex models into deployable decision tools for pricing and operations.
10 years of coding experience
4 years of employment as a software developer
Master’s Degree, Applied Statistics, Master’s Degree, Applied Statistics at University of MichiganBachelor’s Degree, Industrial Engineering, Bachelor’s Degree, Industrial Engineering at Shanghai Jiao Tong University
Github Skills (31)
aws8
kubernetes-cluster8
hexo8
bare-metal8
high-availability7
nodejs7
ansible7
k8s6
thrift6
docker6
typescript6
kubernetes6
javascript6
data-lake5
gateway5
Programming languages (3)
Github contributions (5)
liumingming123/WordCount-real-time
Jul 2017 - Jul 2017
Contributions:2 commits, 1 push, 1 branch in 1 day
liumingming123/mapreduce_join
Aug 2017 - Aug 2017
Contributions:2 commits, 1 push, 1 branch in 1 day
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