Summary
Antoine Pissoort is an R Shiny software engineer and applied statistician with nine years of hands-on experience turning complex data into decision-ready insights across pharma, finance, banking and social sciences. He has seven years focused on non-clinical, pre-clinical and early clinical development—designing simulations, Bayesian analyses and sample-size calculations—and builds interactive R-Shiny apps that make sophisticated models accessible to stakeholders. Comfortable with deep learning, algorithmic trading and biomarker assay analytics, he combines technical rigor in computational statistics with a business and economics background to bridge analytics and strategy. A pragmatic coder who values readable code, he often prioritizes analyst thinking time over micro-optimizations, reflecting his experience delivering reproducible solutions under tight deadlines. Based in Brussels, he consults for industry teams (currently in Statistical Innovation) while continuing to apply ML and Bayesian methods to real-world problems.
9 years of coding experience
5 years of employment as a software developer
Master's degree Statistics (Data Science), Master's degree Statistics (Data Science) at Université catholique de Louvain
University certificate Data Science, University certificate Data Science at Louvain school of Statistics, Biostatistics and Actuarial sciences
English, French, Dutch