Summary
Ernesto Fune is a founder and principal consultant who combines a PhD in Astroparticle Physics with eight years of applied data science experience designing reliable, auditable AI systems for regulated domains such as finance and healthcare. He moves research into production—leading algorithm design, validation, stress-testing, and reproducible pipelines that embed monitoring, explainability, and governance for regulatory review. His background in high-performance Monte Carlo simulations and survival modelling enables rigorous handling of scarce, censored, or high-risk data, evidenced by work that improved kidney graft survival prediction and built ECB-aligned model performance platforms. At Nexialog he led R&D on ethical anonymization and LLM/XAI solutions, shipping a proprietary anonymization product for financial clients, and he routinely de-risks projects by surfacing hidden assumptions and failure modes early. Based in Paris, he brings a rare blend of scientific rigor, production discipline, and clear technical handovers that support long-term ownership in highly regulated settings.
8 years of coding experience
7 years of employment as a software developer
Diploma in High Energy Physics High Energy Physics, Diploma in High Energy Physics High Energy Physics at Abdus Salam International Centre for Theoretical Physics
Master's degree Theoretical Physics, Master's degree Theoretical Physics at University of Havana
Doctor of Philosophy - PhD Astroparticle Physics, Doctor of Philosophy - PhD Astroparticle Physics at SISSA
Bachelor of Technology (B.Tech.) Accountancy and Finances, Bachelor of Technology (B.Tech.) Accountancy and Finances at Polytechnic Institute Lazaro Peña
Spanish, English, Italian, French