Lun Li is a Ph.D. candidate in Industrial & Systems Engineering at the University of Washington with a decade of applied research and teaching experience focused on complex systems, healthcare operations, and production system assessment. As a teaching assistant for large-enrollment statistics courses, Lun distills statistical inference and data analysis for 150+ engineering students while also supporting curriculum delivery and assessment. Their research history spans industry collaboration at Boeing’s Advanced Research Center to healthcare projects with Seattle Children’s Hospital, where they built simulation models and prototype mobile tools to improve neonatal transport workflows and co-authored peer-reviewed publications. Lun combines rigorous systems engineering methods, network analysis, and simulation to turn operational data into actionable improvements, and has a track record of translating research into decision-support tools and presented findings at industry-academic showcases. Based in Seattle, they bring both classroom pedagogy and hands-on systems research, with an unusual blend of deep methodological expertise and practical prototyping.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Industrial Engineering, Doctor of Philosophy - PhD, Industrial Engineering at University of Washington
Bachelor's degree, Industrial Engineering, Bachelor's degree, Industrial Engineering at Jilin University
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Lun Li - Teaching Assistant at University of Washington