Summary
Sergio Lucero is a Chilean applied mathematician and seasoned quantitative technologist with 11+ years building production-grade AI, BI and cloud solutions across finance, healthcare and public-sector projects. As Chief Mathematician at Quant.cl he has led end-to-end initiatives—from Monte Carlo engines and CVA training for banks to ML-powered medical voice diagnostics and an AI scribe for clinical workflows funded by CORFO. He combines deep operations-research roots (PhD-level applied math and optimization) with hands-on engineering in Python, AWS/Azure, CUDA, LangChain and Power BI to turn complex stochastic models into user-facing web services and dashboards. Sergio’s career blends founding startups, corporate quant roles and consulting for clients like Banco Santander, Penta Financiero and Agrosuper, and he runs the Chile PyData chapter to promote practical data science. Less obvious: he regularly bridges niche domains—from forestry harvest optimization with CPLEX to real‑time neuronal spike detection—demonstrating a rare ability to translate academic algorithms into scalable industry products.
11 years of coding experience
17 years of employment as a software developer
Colegio San Juan Evangelista
La Chataigneraie
Civil Engineer, Civil Mathematical Engineering, Civil Engineer, Civil Mathematical Engineering at Universidad de Chile
masters in optimization, Computational and Applied Mathematics, masters in optimization, Computational and Applied Mathematics at Sorbonne Université
Ph.D, Applied Mathematics, Ph.D, Applied Mathematics at University of California at Davis
English, Spanish, French, Italian, Portuguese, German