Summary
Joël Repond is a Data Scientist specializing in AI and BI with nine years of experience bridging advanced physics research and data-driven solutions. Trained as a physicist (PhD, EPFL/CERN), he translated expertise in mathematical modeling and numerical simulation from accelerator and cosmology research into practical analytics and ML applications for finance and business intelligence. At CERN he led experimental studies that informed HL-LHC mitigation strategies, demonstrating an ability to turn complex measurements into implementable solutions—skills he now applies to production BI systems at INERA. Based in Bulle, Switzerland, he brings a strong quantitative mindset, hands-on coding and simulation experience, and a knack for extracting predictive signal from noisy data. Notably, his path from lattice cosmology and beam dynamics to crypto-informed market analytics reflects an uncommon blend of fundamental science and applied data product delivery.
9 years of coding experience
4 years of employment as a software developer
Ph. D. in Physics, Physics, Ph. D. in Physics, Physics at Swiss Federal Institute of Technology
English, English at Lexis English Perth (Australia)
Mineur, Science et ingénierie computationnelles, Mineur, Science et ingénierie computationnelles at Ecole polytechnique fédérale de Lausanne
English