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 developing novel machine learning algorithms that are motivated by existing policy problems, and understanding how machine learning can better help us overcome important societal challenges.
Prior to graduate school I received my B.Sc. in Mathematics from Universidad Nacional de Colombia and worked as a journalist for one of Colombia’s main news magazine, Semana. 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