Faidra Monachou

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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 labor and education. More broadly, my interests include the theory and applications of market design, digital platforms, information design, matching algorithms, as well as ethics questions in the intersection of markets, algorithms 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, a Jerome Kaseberg Doolan 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 Bias, Discrimination, and Fairness working group at Mechanism Design for Social Good. In Summer 2020, I co-chaired the 4th MD4SG workshop.

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