Ariane Ducellier is a postdoctoral researcher and applied scientist with 11 years of experience building mathematical methods and production-ready computational code for complex data problems. Based at IHME in Seattle, she develops algorithms to reweight contingency tables and supports users across the institute through code maintenance and hands-on office hours. Her background spans academia and industry—from seismic signal processing and inverse problem optimization during a PhD and research roles to forecasting pipelines and model production at Zillow. She teaches data visualization at the University of Washington and has a rare blend of expertise in high-performance scientific computing (C, Fortran, MPI, OpenMP) and modern statistical modeling. Known for translating domain-specific scientific questions into robust, deployable analytics, she also brings experience designing vulnerability and network-disruption models for disaster resilience.
11 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy - PhD, Earth and Space Sciences: Data Science, Doctor of Philosophy - PhD, Earth and Space Sciences: Data Science at University of Washington
Master's degree, Engineering and Applied Mathematics, Master's degree, Engineering and Applied Mathematics at CentraleSupélec
Classe préparatoire PC, Classe préparatoire PC at Lycée Saint Louis
Classe préparatoire PCSI, Classe préparatoire PCSI at Lycée Lavoisier
Contributions:2 releases, 67 pushes, 1 branch in 2 years
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