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.

Recent News

January 2024 Won the ASA Student Paper Competition Award in the Social Statistics Section for my work on nonparametric capture-recapture methods and will be presenting at the Joint Statistical Meeting 2024 .
January 2024 Our paper "RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization" was accepted for publication at the ACM Journal on Computing and Sustainable Societies and will be presented at COMPASS in July!
October 2023 Awarded the K&L Gates Presidential Fellowship in Ethics and Computational Technologies.

Selected Research Projects