Having just completed her PhD in Computer Science at Brown University (advised by Professor Suresh Venkatasubramanian), Pegah Nokhiz is a Postdoctoral Fellow at the Digital Life Initiative, Cornell Tech. She was an affiliate of Brown's Center for Technological Responsibility, Reimagination and Redesign (CNTR) at the Data Science Institute.

Pegah's research work has focused on the long-term effects of automated decision-making (on artificial societies), fairness in machine learning, bridging quantitative and qualitative methods from other disciplines by analyzing and quantifying interdisciplinary notions (to gauge the ethical and social impacts of AI tools), and econometric approaches to simulating individual behavior. Methodologically, Pegah's work draws on frameworks and notions from a variety of related disciplines such as moral philosophy, social sciences, and econometrics. Her work has been published in interdisciplinary venues such as Fairness, Accountability, and Transparency (FAccT) and Artificial Intelligence, Ethics, and Society (AIES).

Homepage: https://sites.google.com/view/pnokhiz/home