I am a Post-doctoral Associate at the department of Computer Science at Cornell, where I collaborate with Professors Jon Kleinberg, Karen Levy, and Solon Barocas through the Artificial Intelligence, Policy, and Practice initiative.

Before coming to Cornell, I spent two years at ETH Zürich, Institute for Machine Learning, working as a Post-doctoral Fellow under the supervision of Professor Andreas Krause. During that time, I also collaborated closely with Professor Krishna Gummadi. I received my Ph.D. in Computer and Information Science from the University of Pennsylvania, where I was co-advised by Professors Michael Kearns and Ali Jadbabaie.

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.


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