Himan Abdollahpouri is a Ph.D. student in the information science department at the University of Colorado Boulder. He is a member of That Recommender Systems Lab under the supervision of Prof. Robin Burke who is one of the pioneers of the recommender systems research area. Himan's thesis is on recommender systems and personalization. In particular, he is working on a new trending topic called Multistakeholder recommendation where the goal is to generate personalized recommendations for users while satisfying the needs and interests of multiple stakeholders such as item providers, intermediary partners, the recommendation platform and so on. He holds a bachelors degree in computer engineering and also a masters degree in artificial intelligence from Bu-Ali Sina university and Iran University of Science and Technology, respectively. During his Ph.D. program, he has done two internships at Pandora Media in Summer 2017 and 2018 as a research data scientist working on machine learning and recommendation algorithms for improving the performance of their music recommendations. In addition, he has several publications in some of the most well-known conferences in the recommender systems area such as ACM RecSys and ACM UMAP.