Paul D is a data scientist with nine years of experience combining a PhD-level background in randomized optimization and signal processing with applied statistics and machine learning. Based in Marseille, he currently builds predictive models on clinical lung cancer data and has a track record of handling longitudinal, missing and survival data from his Inria research and postdoc work. His career bridges industry and research—from real-time computational advertising and CRM scoring to fast, robust optimization for radar antenna design—so he excels at turning mathematical methods into production-ready solutions. Notable strengths include benchmarking solvers, software tooling for constrained optimization, and exploratory biomarker analysis, which give him a rare mix of deep theory and practical biotech impact.
9 years of coding experience
6 years of employment as a software developer
PhD in Mathematics and Computer Science Optimization Digital Signal Processing, PhD in Mathematics and Computer Science Optimization Digital Signal Processing at Institut Polytechnique de Paris
MASH - Master de Recherche Mathématiques Apprentissage et Sciences Humaines Machine Learning Statistics & applications to human sciences, MASH - Master de Recherche Mathématiques Apprentissage et Sciences Humaines Machine Learning Statistics & applications to human sciences at Université Paris Dauphine - PSL
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.