Mateo Dulce Rubio

¡Hola! I am a Ph.D. candidate in the Statistics and Public Policy joint program at Carnegie Mellon University, advised by Edward H. Kennedy. My research focuses on non-parametric statistics, causal inference, and responsible machine learning, with a strong emphasis on their applications for good. My dissertation encompasses the development of flexible and robust methods inspired by challenges arising in post-conflict scenarios and peacebuilding efforts. I am a K&L Gates Presidential Fellow in Ethics and Computational Technologies.

I am the co-founder of the Centro de Analítica para Políticas Públicas (Center of Analytics for Public Policy), a research initiative dedicated to fostering the advancement of mathematics, data science, and AI for the public sector in Colombia and Latin America. Before starting my PhD, I worked at Quantil mostly on crime modeling research in Bogotá. My background is in Mathematics (BSc) and Economics (BSc, MSc cum laude) from Universidad de los Andes in Colombia.