Photo of Chris Chute

Chris Chute

GitHub: @chrischute
Google Scholar: here
CV/Resume: here


I'm a second-year master's student at Stanford studying computer science. I'm most interested in machine learning and networks. Since spring of 2018 I've been a research assistant in the Stanford ML Group, where our work focuses on deep learning for healthcare. I did my undergrad at Yale and graduated in 2017 with degrees in math and computer science. I previously interned at Microsoft (summer 2017, 2016) and did math research at Yale (summer 2015).



  1. CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
    Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng
    AAAI, 2019

  2. Query complexity of mastermind variants
    Aaron Berger, Christopher Chute, Matthew Stone
    Discrete Mathematics, 2018