Emily Diana

I am 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 the 2024 FORC Best Paper Award, and I 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.