I am a PhD candidate in a dual program in Machine Learning and Public Policy at Carnegie Mellon University’s Machine Learning Department and Heinz College. I am co-advised by Prof. Artur Dubrawski and Prof. Alexandra Chouldechova, and I am part of the Auton Lab.

My research is centered around machine learning for decision support towards sustainable societies. In particular, my work focuses on characterizing the risks of using AI as a decision support tool, and developing methodologies to address these challenges. I am also passionate about understanding the roadblocks that prevent the effective use of machine learning in developing regions.

I hold a M.Sc. in Machine Learning from Carnegie Mellon University (2017) and a B.Sc. in Mathematics from Universidad Nacional de Colombia (2013). Prior to graduate school, I worked as a data science researcher and as a journalist. Data-driven investigative journalism continues to be one of my passions. I am the recipient of a Microsoft Research Dissertation Grant 2018, and a co-founder of ML4D.