Faidra Monachou is a Ph.D. candidate in Operations Research at the Department of Management Science and Engineering at Stanford University, advised by Itai Ashlagi. Her work focuses on market design and matching theory, and aims at understanding the theoretical foundations of socioeconomic problems that arise in large-scale online markets. She is particularly interested in the study of bias and discrimination in the sharing economy, labor markets and education as well as the role of information design and learning in redesigning non-monetary matching markets. Before coming to Stanford, she graduated from National Technical University of Athens in Greece, where she studied Electrical Engineering and Computer Science.

Honors & Awards

  • Google Women Techmakers Scholarship, Google (2020)
  • Krishnan-Shah Fellowship, Stanford University (2019)
  • A.G. Leventis Foundation Grant, A.G. Leventis Foundation (2018 - 2020)
  • Gerondelis Foundation Graduate Study Scholarship, Gerondelis Foundation (2018)
  • Nakagawa Special Steel-Mitani Fellowship, Stanford University (2018)
  • Thomas V. Jones Stanford Graduate Fellowship, Stanford University, School of Engineering (2016 - 2018)
  • Second Prize, 67th National Mathematical Competition, Hellenic Mathematical Society (2007)

Education & Certifications

  • Diploma, National Technical University of Athens, Electrical & Computer Engineering, Computer Science

Stanford Advisors

Service, Volunteer and Community Work

  • Mechanism Design for Social Good (10/1/2019 - Present)


All Publications

  • Optimal Dynamic Allocation: Simplicity through Information Design Ashlagi, I., Monachou, F., Nikzad, A. 2020
  • Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design Advances in Neural Information Processing Systems Monachou, F., Ashlagi, I. 2019: 2142–52