Emily Diana

Statistics and Data Science PhD Student

The Wharton School, University of Pennsylvania


I am a rising fifth year PhD student in Statistics and Data Science at the Wharton School, University of Pennsylvania, where I am advised by Michael Kearns and Aaron Roth. My research focuses on the intersection of ethical algorithm design and socially aware machine learning. I am honored 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 maintain an active collaboration with Amazon AWS and the Federal Reserve Bank of Philadelphia.

I am on the 2022-2023 job market.


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


  • PhD in Statistics, Expected 2023

    The Wharton School, University of Pennsylvania

  • MS in Statistics, 2018

    Stanford University

  • BA in Applied Mathematics, 2015

    Yale College