Summary
Wilmer Henao is a Senior Data Scientist with 13 years of quantitative finance and scientific computing experience, holding a Ph.D. in Operations Research and advanced degrees in mathematical finance and scientific computing. He builds large-scale optimization engines and heuristics to solve high-stakes problems—from multi-asset portfolio construction and MBS prepayment calibration to treatment planning for external radiotherapy. Comfortable moving models from theory to production, he has implemented VaR and pricing methodologies at major institutions and led quantitative research teams. A competitive machine-learning participant, he pairs top contest results with practical risk attribution, Black-Litterman integration, and fat-tail analysis. Based in Westport, CT, he combines deep mathematical rigor with hands-on engineering to deliver auditable, high-performance solutions in finance and healthcare.
13 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Operations Research, Doctor of Philosophy (Ph.D.), Operations Research at University of Michigan
masters, Mathematics of Finance, 3.85, masters, Mathematics of Finance, 3.85 at Columbia University in the City of New York
Master Sc., Scientific Computing, 3.6, Master Sc., Scientific Computing, 3.6 at NYU, COURANT INST
Universidad de los Andes
Danish, Spanish, English