Santiago E. Cortés-Gómez

I am a Machine Learning PhD student at Carnegie Mellon’s School of Computer Science, advised by Professor Bryan Wilder. My research focuses on developing the principled scaffolding that AI systems need to be deployed responsibly at the policy level, particularly in public and clinical health domains. I’m most excited by projects that connect machine learning theory with real-world decision-making, I’m drawn to work that combines principled design (Whether that means a formal argument or a rigorous engineering procedure) with practical implementation to ensure AI systems remain reliable under uncertainty. In a past life I was a Machine learning engineer at Factored.ai. I hold a B.Sc. and a M.Sc., both in Mathematics from Universidad de Los Andes (2017, 2018). My CV can be found here.