Jinming Li
Graduate Student Research Assistant
Ann Arbor, Michigan, United States
Summary
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Senior🎓
Top SchoolJinming Li is a PhD candidate in Statistics at the University of Michigan with eight years of experience applying statistical and deep learning methods to NLP, recommender systems, and knowledge-graph QA. As a graduate student research assistant and former teaching assistant, he blends rigorous research with clear pedagogy across applied regression, computational methods, and data analysis. Industrial internships at Amazon and SIG exposed him to production recommender architectures, GPT-2–based NLP, and quantitative research workflows, including a published query-generation framework for personalized search. His early work at USTC built Chinese-language knowledge graphs and QA systems, reflecting a long-standing interest in connecting human cognition and deep learning. Based in Ann Arbor, he pairs academic depth with hands-on engineering, often asking the practical question behind model design: can we learn deep learning better by understanding the human brain?
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at University of MichiganBachelor of Science - BS Statistics, Bachelor of Science - BS Statistics at University of Science and Technology of ChinaGithub contributions (5)
JinmingLi/China-Gazetteer-Project-at-Harvard-University
Nov 2017 - Dec 2017
Contributions:36 commits, 34 pushes, 1 branch in 1 month
Contributions:8 commits, 7 pushes, 1 branch in 1 day
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