Lizhen Liang
Machine Learning Engineer at Syracuse University School of Information Studies
Zhongshan, Guangdong Province, China
Summary
👤
Senior🎓
Top SchoolLizhen 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
English, Chinese, Chinese
Github Skills (5)
python7
science5
object-detection1
computer-vision1
keypoint1
Programming languages (5)
Github contributions (5)
daniel-acuna/ist718_notes
Jan 2019 - Aug 2019
Contributions:23 commits, 6 PRs, 7 pushes in 7 months
ibranchsu/ibranchsu.github.io
Jul 2019 - Jan 2020
Contributions:72 pushes in 6 months
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