Mathieu Fourment is a computational data scientist and group leader based in Sydney with over a decade of experience developing high-performance probabilistic models and inference tools for genomic epidemiology. He builds and publishes open-source software for large-scale simulation, Sequential Monte Carlo and variational/MCMC inference—work that has powered real-time outbreak analysis and evolutionary-rate estimation from pathogen genomes. With a PhD in bioinformatics and a track record across leading academic institutions, he blends deep statistical modeling, C/C++/Java/Stan implementation skills, and postgraduate teaching and mentorship. Notably, he translates complex phylogenetic theory into production-ready pipelines, including a C++ real-time outbreak tool and custom variational inference implementations that speed interpretation of bacterial and viral data.
11 years of coding experience
9 years of employment as a software developer
Master Computer sciences, Master Computer sciences at Université de Tours
Our fork of Adam M. Johansen's Sequential Monte Carlo Template Class
Contributions:1 release, 8 commits, 4 PRs in 1 year 6 months
monte-carlo
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