Liang Zhang
Research Fellow at University of Michigan
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolLiang Zhang is a research-focused software engineer and Ph.D. in Computer Engineering with eight years of experience building ML and deep learning systems for education and healthcare. Currently a Research Fellow at the University of Michigan, he develops multimodal, sensor-driven pipelines and multimodal team-aware models to measure cognitive load and enable adaptive scaffolding in simulation-based medical education. His recent work spans LLM-powered multi-agent systems for personalized learning, generative-AI resource generation, and dialogue-based assessment platforms, reflecting a rare blend of learning engineering and practical systems integration. Liang has contributed to large educational data ecosystems like LearnSphere and led projects that bridge physiological, visual, and language signals for assessment—an interdisciplinary approach that accelerates real-world impact. Based in Ann Arbor, he is open to academic and industry roles where he can translate cutting-edge AI research into deployable educational technologies.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at University of MemphisMaster's degree Mechanical Engineering, Master's degree Mechanical Engineering at Tianjin University of Science & Technology
Github Skills (16)
json-data7
json6
java6
jsonpath6
lrs5
xapi5
json-parser4
simplify4
lme42
scala1
statistics1
mixed-models1
python1
scalability1
statsmodels1
Programming languages (3)
Github contributions (5)
Optimal-Learning-Lab/LDI-domain-modeling
Feb 2021 - Jun 2022
Contributions:29 pushes in 1 year 3 months
LiangZhang2017/3DGAI
Aug 2024 - Nov 2024
Contributions:13 pushes, 1 branch in 2 months
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