Antoine Pissoort
Summary
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SeniorAntoine 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
Github Skills (8)
r-package6
resampling6
r4
classification4
regression-models3
hugo2
statistics2
ruby1
Programming languages (3)
Github contributions (5)
proto4426/PissoortThesis
May 2017 - Feb 2018
Contributions:34 commits, 127 pushes, 3 branches in 9 months
proto4426/ValUSunSSN
Mar 2017 - Oct 2017
Contributions:102 pushes, 1 branch in 6 months
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