Paul Keeler
Senior Consultant at Async Tokyo (x26.io Ltd.)
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolPaul Keeler is a Senior Consultant and PhD in applied mathematics based in Paris, combining over a decade of experience translating advanced stochastic modelling, machine learning, and cryptography into practical telecom and digital services solutions. He has built and accelerated generative and stochastic simulation pipelines on CPUs and GPUs (including AWS C3 instances and CUDA), authored a book on stochastic models of mobile networks, and published research on random spatial networks and blockchain dynamics. His work spans industry and academia—consulting for Orange and Async Tokyo while developing cryptographic electronic voting and blockchain analysis at Inria and the University of Melbourne—bridging theory and production-grade code in MATLAB, R, Python, Java, and C. Notably, he applies spatial statistics and probabilistic network theory to real-world capacity and interference problems, and maintains a technical blog showcasing deeper explorations of ML, random networks, and blockchain.
7 years of coding experience
12 years of employment as a software developer
Bachelor of Science, Physics and Applied Mathematics, Bachelor of Science, Physics and Applied Mathematics at Griffith UniversityThe University of Melbourne
Github Skills (4)
poisson8
multicore5
rectangle5
numba3
Programming languages (1)
Github contributions (5)
hpaulkeeler/posts
Sep 2018 - May 2022
Contributions:145 commits, 177 pushes, 1 branch in 3 years 8 months
hpaulkeeler/kcoverage_single_MATLAB
Jul 2018 - Nov 2019
Contributions:7 commits, 6 pushes, 1 branch in 1 year 4 months
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