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. She applies theoretical and empirical tools and insights from operations research, economics, computer science and sociology to study real-life socioeconomic problems and policy questions that arise in markets and digital platforms. Her current research focuses on the study of discrimination and diversity in matching markets, especially within the context of education and sharing economy, as well as the role that information plays. More broadly, her interests include the theory and applications of market design, information design, data science and operations for social impact, social learning and AI ethics. Faidra is currently supported by a Stanford Data Science Scholarship, a Google Women Techmakers Scholarship, a McCoy Family Center for Ethics in Society Graduate Fellowship, and an A.G. Leventis Foundation Grant. She holds a M.Sc. in Management Science and Engineering from Stanford University with a specialization in Computational Social Science. Before coming to Stanford, she received her undergraduate degree in Electrical and Computer Engineering from National Technical University of Athens in Greece, where she was advised by Dimitris Fotakis. In Summer 2019, Faidra also worked as a data science intern at Microsoft in Redmond, WA.