Pascal Sturmfels

PhD Student in Machine Learning

University of Washington


I am currently a PhD student at the University of Washington, advised by Su In Lee. I am interested in developing methods to make machine learning models more interpretable, and applying such methods to understand biological and health data.


  • Machine Learning
  • Explainable AI


  • PhD in Artificial Intelligence, Current

    University of Washington

  • B.E. in Computer Science, 2017

    University of Michigan


Path Explanations

A GitHub package to explain not only which features are most important to a neural network prediction, but also how those features interact with each other.

Attribution Priors

A GitHub package to regularize a neural network’s feature attributions during training in order to encode human-level prior knowledge into the training process.