Yazgi Akata
Yazgi Akata is a Ph.D. student in the Department of Computer Science. Her advisor is Sanmay Das.
Her research interest is artificial intelligence for social impact, especially how computational methods can address social challenges. She is particularly interested in exploring the trade-off between personalization and content diversification in recommendation algorithms, drawing on methodologies from computer science and the social sciences, and developing algorithmic interventions to enhance constructive cross-community interactions.