Summary
Hippolyte Moulle is a data analyst with 11 years of interdisciplinary experience spanning bioengineering, neuroscience research, and healthcare data engineering. Trained at École des Ponts, Imperial College and Sorbonne (PhD in biophysics), he builds reproducible data pipelines and ML tools to extract biomedical insights and has delivered client-facing platforms and ontologies at MedInsights. Currently completing an MBA and working at Greater Paris University Hospitals after consulting on carbon footprint and financial models at Altarea, he combines technical rigor with business and environmental awareness. Comfortable moving between Matlab, Python and web stacks, he has a knack for turning complex experimental data into pragmatic, production-ready solutions. A less obvious strength is his ability to cross-validate scientific sources into usable ontologies and algorithms that reconcile messy real-world identifiers (e.g., author name matching).
11 years of coding experience
2 years of employment as a software developer
Theoretical Mathematics, Physics, and Engineering Sciences, Theoretical Mathematics, Physics, and Engineering Sciences at Lycée Saint Louis
Master of Science - MS, Bioengineering and Biomedical Engineering, Distinction, Master of Science - MS, Bioengineering and Biomedical Engineering, Distinction at Imperial College London
Master of Science - MS, ENGINEERING, Master of Science - MS, ENGINEERING at École des Ponts ParisTech
Doctor of Philosophy - PhD, Biophysics, Doctor of Philosophy - PhD, Biophysics at Sorbonne Université
Master of Business Administration - MBA, Science and Management, Master of Business Administration - MBA, Science and Management at Collège des Ingénieurs
French, English, Norwegian, Italian