Robin Burke is a Professor in the Department of Information Science at the University of Colorado, Boulder, and the founder and director of That Recommender Systems Lab. More info...
Himan Abdollahpouri is a PhD student at the University of Colorado Boulder, and a member of That Recommender Systems Lab. He received his BSc and MSc degrees from Bu-Ali Sina University and Iran University of Science Technology, respectively. His research interests include but not limited to recommender systems, machine learning and social computing. He is currently working on multistakeholder recommender systems where the interests of different stakeholders should be taken into account when generating recommendations. He has also done two internships at Pandora Media Inc. in Summer 2017 and 2018 as a data scientist and has several publications at top conferences such as RecSys and UMAP.
Nasim (na-seem) Sonboli is an Information Science Ph.D. student and a member of That Recommender Systems Lab, working under supervision of Prof. Robin Burke, a pioneer in the field of recommender systems. She’s working on the fairness, accountability and transparency of recommendation algorithms and has several publications in ACM FAT* Conference and ACM Recommender Systems Conference.
She got her master’s degree with distinction in Predictive Analytics from DePaul University in Chicago in 2016 and a bachelor’s degree in Computer Science from Karaj University in Iran. Prior to getting her master’s degree, she had worked in industry for almost two years as a back-end developer.
Masoud Mansoury is a PhD student at the University of Colorado, Boulder, and a member of That Recommender Systems Lab.
Bum Soo Kim is a Computer Science undergraduate student at the University of Colorado Boulder, and a member of That Recommender Systems Lab. His interests include recommender systems and the ethical considerations behind them, and programming languages.
Olwyn Doyle is an undergraduate student at the University of Colorado Boulder, and a member of That Recommender Systems Lab. She is studying Computer Science and Political Science, and she is fascinated by recommender systems as they are an extraordinary intersection between the two fields.
Florencia Cabral is a student in the Applied Computer Science Post-Baccalaureate program at the University of Colorado, Boulder. Prior to joining That Recommender Systems Lab, Florencia obtained a Bachelor of Arts degree in Psychology from Dickinson College, and worked in international development for 4 years, managing technology innovation projects in Latin America. Her research interests include the impact of recommender systems on fairness and equality, social computing, and machine learning applications.
Morgan Sylvester created the lab logo and other graphic assets for TRSL. Visit their web store.