Lun Ai
Postdoctoral Research Fellow at European Bioinformatics Institute | EMBL-EBI
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolLun Ai is a postdoctoral research fellow at EMBL-EBI with a PhD in Explainable AI and a decade of experience blending machine learning, interpretable models, and bioinformatics. They have driven BBSRC- and EU-funded projects at Imperial College London, focusing on accelerating microbial engineering through efficient, human-centred AI methods that improve researcher comprehension and trust. Their work spans from deep learning for image retrieval to practical software engineering—building microservices on GCP, C#/ASP.NET backends, and Python/Cython optimizations—giving them rare fluency across research code and production systems. Lun’s background in both synthetic biology labs and trustworthy AI initiatives means they routinely translate formal logic-based models into tools that scientists can inspect and use.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Imperial College London
Chinese, English, Japanese, Spanish
Github Skills (4)
jekyll3
jekyll-theme3
responsive2
github-pages1
Github contributions (5)
lai1997/MIPlain
Apr 2019 - Apr 2024
Contributions:100 pushes, 3 branches in 5 years
lun-ai/lun-ai.github.io
Sep 2021 - Jan 2025
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:63 pushes, 4 branches in 3 years 5 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
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