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 main research focus is algorithmic fairness, studying how to characterize and mitigate risks of using machine learning for decision support in high-stakes settings. I am also passionate about understanding the roadblocks that prevent the effective use of machine learning to advance global development, and conducting machine learning research to tackle these challenges. I am a co-founder of ML4D.
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.