Faidra Monachou


I am a final-year Ph.D. candidate in Operations Research at the Department of Management Science and Engineering at Stanford University, advised by Itai Ashlagi. I am currently a Stanford Data Science Scholar (2020-2022).

I am interested in operations for social impact. I use mathematical tools from operations research, economics, and data science to design operational interventions that increase equity, with a focus on education and online markets. More broadly, my interests include the theory and applications of market design, information design, and algorithmic fairness.

My research has been awarded with Best Paper with a Student Presenter Award at ACM EAAMO'21. I was also selected as a Rising Star in EECS (MIT) and a Rising Star in Data Science (University of Chicago). My Ph.D. research was supported by various fellowships and scholarships including the Stanford Data Science Scholarship, Google Women Techmakers Scholarship, Stanford Human-Centered AI Graduate Fellowship (inaugural), and McCoy Family Center for Ethics in Society Graduate Fellowship. I received my undergraduate degree in Electrical and Computer Engineering from National Technical University of Athens in Greece.

For more information, please see my CV.

Outreach. I am passionate about increasing diversity and equity in education and promoting interdisciplinary research for social good. In Summer 2021, I co-organized Stanford Data Science for Social Good research program. At MD4SG, I co-organized the Bias, Discrimination, and Fairness working group (2019-2021) and co-chaired the 4th Mechanism Design for Social Good (MD4SG'20) workshop (see our report and this Stanford MS&E article). I also co-organized the EC'21 tutorial on Fairness and Discrimination through the Dual Lens of Mechanism Design and Machine Learning.



You can contact me at monachou@stanford.edu or Twitter.