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
PhD, Bioinformatics, PhD, Bioinformatics at Macquarie University
Master, Bioinformatics, Master, Bioinformatics at The University of Glasgow
Bachelor degree, Cellular biology, Bachelor degree, Cellular biology at Université de Nice-Sophia Antipolis
Contributions:1 release, 56 commits, 42 pushes in 6 years 4 months
staninferencestatisticsbayesian-statistics
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Mathieu Fourment - Group Leader at University of Technology Sydney