Summary
Maikol Solís is a lead actuarial analyst and PhD statistician based in San José with over a decade of experience translating complex statistical theory into practical public-sector and financial solutions. He has led the actuarial modeling behind a university-wide salary restructuring that impacted 6,000+ staff and validated credit and market-risk models for Costa Rica’s largest state bank. As a full professor and principal investigator, he designs curricula and mentors students into data-science roles, publishes R-based textbooks, and maintains several open-source R packages bridging education and applied research. His work spans actuarial valuations, ML-driven COVID triage tools, and scalable AI training programs—combining rigorous probabilistic modeling with a persistent drive to help others learn and apply data for social impact.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Mathematical Statistics and Probability, Doctor of Philosophy (Ph.D.), Mathematical Statistics and Probability at Université Paul Sabatier Toulouse III
Bachelor's degree, Actuarial Science, Bachelor's degree, Actuarial Science at Universidad de Costa Rica
Master's 2 degree, Applied Mathematics, Master's 2 degree, Applied Mathematics at Université Paul Sabatier (Toulouse III)
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at Universidad de Costa Rica UCR
Spanish, English, French