Summary
Lucas Varela is a data scientist with a PhD in theoretical soft matter physics and 11 years of experience applying statistical and machine learning methods to real-world problems. Based in Paris, he blends rigorous analytical problem-solving from academia with product-focused data work, having built pricing models, KPIs, and analytics pipelines in industry roles. His background in statistical physics gives him a strong foundation in stochastic modeling and information visualization, enabling unbiased interpretation of complex systems and robust predictive models. Lucas is practiced at translating scientific insight into actionable business outcomes and collaborating across teams to deploy those solutions. Notably, his trajectory spans teaching and research to hands-on ML-driven pricing at startups, reflecting both depth in theory and a pragmatic bent for production impact.
11 years of coding experience
Doctor of Philosophy - PhD Theoretical Soft Matter Physics, Doctor of Philosophy - PhD Theoretical Soft Matter Physics at Université Paris-Saclay
Universidad de los Andes
English, Spanish, French