Machine Learning Engineer at Syracuse University School of Information Studies
Zhongshan, Guangdong Province, China
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Summary
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Senior
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Top School
Lizhen Liang is a Machine Learning Engineer with a Ph.D. in Information Science and nearly a decade of experience applying large-scale ML and NLP to scientific metadata and publication corpora. Based in Zhongshan, China, she has engineered PySpark pipelines over billion-node citation and co-authorship networks, trained transformer-based models with Hugging Face, and interpreted deep models using LIME/SHAP for computational social science research. Her work spans both research and production contexts—building dense language representations, topic models, and prompt engineering for Llama3/GPT-4—while also producing publication-quality visualizations and analyses. Less obvious: she blends rigorous network science and Bayesian methods (MCMC) with practical ML engineering, making her adept at turning complex scholarly data into actionable insights.
9 years of coding experience
Information and Computing Science(Computational Mathematics), Information and Computing Science(Computational Mathematics) at 华南农业大学 (South China Agricultural University)
Doctor of Philosophy - PhD, Information Science & Technology, Doctor of Philosophy - PhD, Information Science & Technology at Syracuse University School of Information Studies
Contributions:7 pushes, 1 branch in 3 years 8 months
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