Dr. Hoda Heidari

Biography

Hoda Heidari is an assistant professor in the School of Computer Science at Carnegie Mellon University. Her research broadly addresses the social, ethical, and economic implications of artificial intelligence, with a particular focus on issues such as unfairness and opaqueness in machine learning systems. Heidari's work has earned her recognition, including a best-paper award at the ACM Conference on Fairness, Accountability, and Transparency (FAccT) and notable awards at the ACM Conference on Economics and Computation (EC). She has organized various scholarly events focused on Responsible and Trustworthy AI, including a tutorial at the Web Conference (WWW) and workshops at the Neural Information Processing Systems (NeurIPS) conference. Before joining Carnegie Mellon as a faculty member, Hoda completed her doctoral studies in Computer and Information Science at the University of Pennsylvania and obtained an M.Sc. degree in Statistics from the Wharton School of Business. Her academic journey also includes a postdoctoral position at the Machine Learning Institute of ETH Zurich and a year participating in the Artificial Intelligence, Policy, and Practice (AIPP) initiative at Cornell University.

Research Interests

Experience