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 leveraging machine learning and optimization to develop AI for equitable, data-driven decision-making under uncertainty. My ultimate goal is to apply my work to real-world problems affecting the less fortunate; I am deeply passionate about maximizing the societal impact of my research. 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.