I am a fifth year PhD student in the joint Machine Learning and Public Policy program 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 bias and discrimination that may arise when using machine learning for decision support. 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.