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.
Currently, my main focus is algorithmic fairness, studying how to measure and prevent bias and discrimination that may arise when using machine learning for decision support. I am 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 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.
09/14 – Google Fairness in ML Workshop
10/27 – AMS Sectional Meeting, Special Session on Social Change In and Through Mathematics and Education
10/30 – Microsoft Research PhD Summit
11/07 – INFORMS, Fairness and Transparency in Applied Operations Session