Santiago E. Cortés-Gómez

Machine Learning PhD student.

scortesg@andrew.cmu.edu

Pittsburgh, Pennsylvania

I am a Machine Learning PhD student at the School of Computer Science at Carnegie Mellon University advised by professor Bryan Wilder. My current work focuses on leveraging machine learning and optimization to develop AI for equitable, data-driven decision making. My ultimate goal is to apply my research to real world problems that affect the less fortunate; my true passion is to maximize the positive outcome of my work to society. In a past life I was a Machine learning engineer at Factored.ai working on deep learning. I hold a B.Sc. and a M.Sc., both in Mathematics from Universidad de Los Andes (2017, 2018). My CV can be found here.

News

Sep 2, 2023 1 Paper accepted to Neurips 2023 (Spotlight).
Aug 29, 2022 Started my PhD at Carnegie Mellon University School of Computer Science.
Nov 21, 2020 Acepted paper to ML4D workshop (Neurips 2020), selected for contributed talk.

Selected publications

  1. Neurips
    Auditing Fairness by Betting (Spotlight)
    Chugg, Ben, Cortes-Gomez, Santiago, Wilder, Bryan, and Ramdas, Aaditya
    Neurips 2023
  2. Inference under constrained distribution shifts
    Cortes-Gomez, Santiago, Dulce, Mateo, and Wilder, Bryan
    arXiv preprint arXiv:2306.03302 2023