Summary
Warren Li is a research scientist with a decade of experience building open-licensed tools and evidence-driven analytics to improve educational outcomes, currently based in Ann Arbor. He blends hands-on software development, experimental design, and teaching—having built data pipelines and visualizations, taught introductory coding, and recorded course materials for online degree programs. His research probes how people interact with machine learning and AI explanations, exploring effects on models, learner metacognition, and privacy choices in educational settings. Warren has applied these skills beyond academia—collaborating with psychometricians on state-level testing analyses and partnering with funders and edtech startups to evaluate product data quality and features. He holds a PhD in Information from the University of Michigan and brings a rare combination of developer, educator, and researcher perspectives that anticipates both technical and human impacts of AI in learning.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Information Science/Studies, Doctor of Philosophy - PhD, Information Science/Studies at University of Michigan
Bachelor of Arts - BA, Bachelor of Science - BS, Mathematics, Engineering Physics, Bachelor of Arts - BA, Bachelor of Science - BS, Mathematics, Engineering Physics at University of Missouri-Saint Louis
mandarin (普通話), cantonese (廣東話), french (français)