I am the K&L Gates Career Development Assistant Professor in Ethics and Computational Technologies at Carnegie Mellon University with joint appointments in the Machine Learning Department and the Institute for Software, Systems, and Society. I am also affiliated with the Human-Computer Interaction Institute, CyLab, and the Block Center for Technology and Society at CMU, and I co-lead the university-wide Responsible AI Initiative.

I am broadly interested in the Ethical and Societal Aspects of Artificial Intelligence and Machine Learning. In particular, my research has addressed issues of Fairness and Accountability. For more information, please take a look at my bio, CV (last updated Jul 2023), Google Scholar profile, and the Research section of this page.

My work has been generously supported by the NSF Program on Fairness in AI in Collaboration with Amazon, PwC, CyLab, Meta, and J. P. Morgan. I am a senior personnel at AI-SDM: the NSF AI Institute for Societal Decision Making.

I currently advise the following doctoral students: Nari Johnson, Michael Feffer (co-advised with Zack Lipton), Anusha Sinha (co-advised with Steven Wu) Rebecca Yu.

Research Papers


  • Machine Learning, Ethics, and Society (10-613/713): Spring 2023
  • Mathematical foundations of ML (10-606): Fall 2022
  • Computational foundations of ML (10-607): Fall 2022
  • Probabilistic Graphical Models (10-708): Spring 2022
  • Machine Learning, Ethics, and Society (10-613/713): Fall 2021
  • Fairness, Explainability, and Accountability for Machine Learning (10-712): Spring 2019, Fall 2020

Selected Service