Emily Diana

Research Assistant Professor

Toyota Technological Institute at Chicago


I am a Research Assistant Professor at the Toyota Technological Institute at Chicago. Starting in September of 2024, I will be an Assistant Professor in the Operations Research group at CMU's Tepper School of Business. I received my Ph. D. in Statistics and Data Science from the Wharton School of the University of Pennsylvania, where I was advised by Michael Kearns and Aaron Roth. My research focuses on the intersection of ethical algorithm design and socially responsible machine learning. I am honored to be the recipient of the 2022 Wharton School's J. Parker Memorial Bursk Prize for Excellence in Research and to have been recognized as both a Rising Star in EECS by MIT and a Future Leader in Data Science by the University of Michigan.

Before Penn, I received a B.A. in Applied Mathematics from Yale College and an M.S. in Statistics from Stanford University, and I spent two years as a software developer at Lawrence Livermore National Laboratory, focusing on improving the performance of government finite element physics simulation codes. I also maintain an active collaboration with Amazon AWS.


  • Algorithmic Fairness
  • Proxy Attributes
  • Statistical Learning Theory
  • Applied Machine Learning


  • PhD in Statistics and Data Science, 2023

    The Wharton School, University of Pennsylvania

  • MS in Statistics, 2018

    Stanford University

  • BA in Applied Mathematics, 2015

    Yale College