Faidra Monachou


I am a Ph.D. candidate in Operations Research at the Department of Management Science and Engineering at Stanford University, advised by Itai Ashlagi.

I apply theoretical and empirical tools and insights from operations research, economics, computer science and sociology to study real-life socioeconomic problems that arise in markets and digital platforms. My current research focuses on the study of discrimination, diversity, and inequality in matching markets, especially within the context of education and sharing economy, as well as the role of information in markets. More broadly, my interests include the theory and applications of market design, information design, matching algorithms, social learning and ethics questions in the intersection of markets, AI and policy.

I am currently supported by a Stanford Data Science Scholarship, a Google Women Techmakers Scholarship, a McCoy Family Center for Ethics in Society Graduate Fellowship, and an A.G. Leventis Foundation Grant.

I hold a M.Sc. in Management Science and Engineering from Stanford University with a specialization in Computational Social Science. Before coming to Stanford, I received my undergraduate degree in Electrical and Computer Engineering from National Technical University of Athens in Greece, where I was advised by Dimitris Fotakis. In Summer 2019, I also worked as a data science intern at Microsoft in Redmond, WA.

Since Fall 2019, I am co-organizing the Discrimination and Equity in Algorithmic Decision-making working group (previously known as Bias, Discrimination, and Fairness) at Mechanism Design for Social Good. In Summer 2020, I co-chaired the 4th MD4SG workshop. This summer, I am co-organizing the Stanford Data Science for Social Good program.