Faidra Monachou is a Ph.D. candidate in Operations Research at the Department of Management Science and Engineering at Stanford University, advised by Professor Itai Ashlagi. Her work focuses on market design and the study of discrimination, diversity, and inequality in matching markets. She is particularly interested in the issue of bias and discrimination in online labor markets, the design of effective and fair admissions policies in education as well as the role of information design in non-monetary matching markets. Faidra's research is currently supported by the Stanford Data Science Scholarship (2020 - 2022), Google Women Techmakers Scholarship (2020 - 2021), Jerome Kaseberg Doolan Fellowship (2020 - 2021) and A.G. Leventis Foundation Grant (2018 - 2021). For the academic year 2020 - 2021, she is also affiliated with the McCoy Family Center for Ethics in Society as a Graduate Fellow. She received her undergraduate degree in Electrical and Computer Engineering from National Technical University of Athens in Greece and her MSc in Management Science and Engineering from Stanford University.

Honors & Awards

  • Stanford Data Science Scholarship, Stanford University (2020 - 2022)
  • Google Women Techmakers Scholarship, Google (2020 - 2021)
  • McCoy Family Center for Ethics in Society Fellowship, Stanford University (2020 - 2021)
  • Jerome Kaseberg Doolan Fellowship, Stanford University (2020)
  • Krishnan-Shah Fellowship, Stanford University (2019 - 2020)
  • A.G. Leventis Foundation Grant, A.G. Leventis Foundation (2018 - 2021)
  • 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

  • MSc, Stanford University, Management Science and Engineering
  • Diploma, National Technical University of Athens, Electrical & Computer Engineering, Computer Science

Stanford Advisors

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