Fan Mo
Senior Research Engineer at Huawei
United Kingdom
Summary
👤
Senior🎓
Top SchoolFan Mo is a Senior Research Engineer specializing in privacy-preserving machine learning and trustworthy AI, currently working at Huawei’s Shield Lab in Shenzhen. With a PhD from Imperial College London and nine years of experience across industry research labs including Nokia Bell Labs, Arm, and Telefónica, he focuses on enabling edge ML without leaking users’ private data using techniques like TEEs and federated learning. His background in human-computer interaction informs a strong track record in user studies, usability evaluation, and prototype design, bridging technical rigor with human-centered concerns. He has led practical research on combining client and server TEEs for secure federated training and contributed to projects such as Veracruz for privacy-preserving ML. Known for interdisciplinary curiosity, he blends pragmatic systems engineering with an appreciation for “beautiful” solutions spanning science and the humanities. Based in the UK, he brings both deep research expertise and hands-on implementation experience in deploying privacy-aware ML at the edge.
9 years of coding experience
Doctor of Philosophy - PhD, Privacy-preserving Machine Learning, Doctor of Philosophy - PhD, Privacy-preserving Machine Learning at Imperial College LondonBachelor's & Master's degree, Human Computer Interaction, 3.72/4 & 4.81/5, Bachelor's & Master's degree, Human Computer Interaction, 3.72/4 & 4.81/5 at Chongqing University
Github Skills (78)
flower10
python10
deep-learning10
cpp10
pytorch10
machine-learning10
trustzone10
federated-learning10
sdk9
ai9
neural-network9
grpc9
tee9
federated9
ios9
Programming languages (9)
Github contributions (5)
mofanv/cquhci-lab.github.io
Oct 2019 - Mar 2025
Contributions:1 push in 5 years 6 months
mofanv/mofanv.github.io
Sep 2018 - Feb 2025
Build a Jekyll blog in minutes, without touching the command line.
Contributions:118 pushes, 1 branch in 6 years 5 months
jekyll-blogjekylljekyll-thememinutes
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