Senior Research Fellow at Leeds University Business School
Leeds, England, United Kingdom
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Summary
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Li Zheng is a Senior Research Fellow based in Leeds with 13 years of experience bridging academic research, teaching, and applied software contributions. Holding a PhD in Marketing from ESSEC, Li supervises PhD and master students and teaches across undergraduate to doctoral levels while managing research projects with an international perspective. He combines rigorous data skills and front-end development experience—contributing notable enhancements to the popular Vue-based mobile UI library "vux" and maintaining structured China administrative datasets. This blend of methodological depth and hands-on engineering enables him to translate complex research questions into reproducible, data-driven tools. Colleagues value him for mentoring students through practical strategy projects and for bringing a developer’s attention to detail into academic workflows. Outside academia he describes himself as a dreamer, suggesting a creative bent that fuels both research ideas and open-source contributions.
13 years of coding experience
1 year of employment as a software developer
M.Phil, Marketing and strategy, M.Phil, Marketing and strategy at Université Paris Dauphine
Doctor of Philosophy (PhD), Marketing, Doctor of Philosophy (PhD), Marketing at ESSEC - ESSEC Business School
Contributions:77 releases, 2315 commits, 296 PRs in 7 years
Contributions summary:Li primarily contributed to the "vux" project, a mobile UI component library based on Vue & WeUI. The commits involved implementing new features, such as adding props to existing components and supporting new functionalities such as shortcut values, day replacement, and the ability to handle multiple selections within calendar components. These changes involved modifying existing Vue.js components, integrating new functionalities and fixing existing bugs.
Contributions:16 commits, 2 PRs, 15 pushes in 4 years 2 months
Contributions summary:Li's commits primarily focused on adding and upgrading data related to Chinese administrative divisions within the `airyland/china-area-data` repository. They added initial data, then formatted and structured the data, and finally upgraded the data to a newer version (v5). This involved data extraction, cleaning, and transformation, implying a focus on creating and maintaining a comprehensive dataset.
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Li Zheng - Senior Research Fellow at Leeds University Business School