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 and the Heinz College of Information Systems and Public Policy at CMU, and I co-lead the university-wide Responsible AI Initiative and the K&L Gates Initiative for Ethics and Computational Technologies.

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 Nov 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 and postdocs: Michael Feffer (co-advised with Zack Lipton), Nari Johnson, Vijay Keswani (co-supervised with Jana Schaich Borg, Vincent Conitzer, and Walter Sinnott-Armstrong), Anusha Sinha (co-advised with Steven Wu), Ningjing Tang (co-advised with Hong Shen), Rebecca Yu.

Research Papers


  • Responsible AI (10-735/80-831): Spring 2024
  • 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