Summary
Andres Morales-forero is a data scientist and statistician with nine years of experience applying advanced statistical methods, causal inference, and ethical AI to public health and policy evaluation. Based in Marseille and currently at INSERM’s SESSTIM unit, he analyzes national health datasets to shape insurance and cancer survivorship policy, notably developing actuarial models that informed reforms for breast cancer survivors. His background spans international fieldwork and large-scale impact evaluations with partners like Stanford and the World Bank, bringing rigorous sampling and survey expertise from work in conflict zones. As a PhD researcher at Polytechnique Montréal he advances methods to mitigate racial bias in medical algorithms and to make causal inference more robust for real-world decisions. Technically fluent in R, Python, SAS and STATA, he blends R&D on generative and explainable AI with practical epidemiology and health economics. Unusually, his profile pairs hands-on data collection in challenging environments with high-level AI safety and governance research.
9 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Statistics, Bachelor's degree, Statistics at Universidad Nacional de Colombia
Master's degree, Statistics, Master's degree, Statistics at Université de Montréal
PHD Industrial Engineering, Artificial Intelligence, PHD Industrial Engineering, Artificial Intelligence at Polytechnique Montréal
Spanish, English, French