Kelvin Choi is a Senior Data Scientist based in London with six years’ experience building AI systems that interpret the physical world from multi-sensor data. With a PhD in Atmospheric Physics from Imperial College, he combines remote sensing, sensor fusion and geospatial ML to deliver real-time road monitoring and scalable streaming pipelines at Valerann. He moves research into product through prototyping, cross-functional scaling and patent-backed innovation, and has presented work at conferences and hackathons. His background in satellite earth observation and hands-on teaching and UI design give him a rare blend of rigorous quantitative research, practical engineering and user-centered thinking.
6 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Atmospheric Physics and Dynamics, Doctor of Philosophy - PhD Atmospheric Physics and Dynamics at Imperial College London
IB Bilingual Diploma Physics, IB Bilingual Diploma Physics at HKCCCU Logos Academy
Collection of tools, resources and sample code to use alongside the Sensor Logger app
Contributions:1 release, 1 review, 16 commits in 7 months
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