I am an Assistant Professor at Carnegie Mellon University with joint appointments in the Machine Learning Department and the Institute for Software Research.

I am broadly interested in Societal Aspects of Artificial Intelligence and Machine Learning and Algorithmic Economics. For more information, please find my CV here.




At ETH Zürich, I designed and taught a new course on Fairness, Explainability, and Accountability for Machine Learning.

I taught a slightly updated version of the above course at CMU in Fall 2020. For more information, please visit the course webpage.


Organizer: Program Committee:
  • ACM Conference on Fairness, Accountability, and Transparency (ACM FAT*), 2019
  • The AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2019
  • The International Conference in Machine Learning (ICML), 2016---2019
  • The Conference on Economics and Computation (EC), 2015, 2018
  • The Conference on Artificial Intelligence (AAAI), 2018, 2020