About
Faidra Monachou is an Assistant Professor of Operations Management at the Yale School of Management and a Faculty Fellow at the Center for Algorithms, Data, and Market Design at Yale (CADMY). She specializes in designing market mechanisms and operational interventions that balance efficiency and fairness, particularly in public policy contexts like education. Her research integrates tools from operations research, economics, and data science to address societal challenges.
Education:
- Ph.D. in Operations Research from Stanford University's Department of Management Science and Engineering
- Postdoctoral Fellowship at Harvard University
- Bachelor's degree in Electrical and Computer Engineering from the National Technical University of Athens
Her research interests focus on market design for public policy, including education systems, labor markets, and algorithmic fairness. Recent work examines human-algorithm trade-offs in college admissions and limitations of diversity interventions in hiring. She frequently collaborates with institutions like the Nokia Bell Labs and the University of Michigan Ross School.
Recent Research Trends: Monachou's publications emphasize fairness, equity, and strategic behavior in allocation systems. Key themes include:
- Algorithmic fairness in education and labor markets
- Design of simple yet optimal allocation mechanisms
- Evaluating trade-offs between information and access in policy
Awards:
- INFORMS DEI Best Student Paper Award (2022)
- ACM EAAMO 2021 Best Paper with a Student Presenter Award
Her work has been published in top venues like ACM EC, Management Science, NeurIPS, and AAAI. She actively contributes to interdisciplinary initiatives such as the Mechanism Design for Social Good workshop.
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