Nasim (na-seem) Sonboli is an Information Science PhD candidate and a member of That Recommender Systems Lab working under the supervision of Prof. Robin Burke. She’s working on fairness-aware recommender systems. She’s also interested in transparency and explanation in fair recommender systems, and fair machine learning in general.
She has several publications in ACM FAccT Conference and ACM Recommender Systems Conference, User Modeling, Adaptation and personalization, and IJCAI. She’s been co-organizing the Responsible Recommendations workshop at the ACM RecSys conference.
She got her master’s degree with distinction in Data Science (formerly known as Predictive Analytics) from The College of Computing and Digital Media, DePaul University in Chicago in 2016. She got her bachelor’s degree in Computer Engineering-Software from Karaj University in Iran. Prior to getting her master’s degree, she had worked in the industry for almost two years as a back-end developer.
She also enjoys practicing ukulele, yoga, swimming and exploring nature.