AnasÌýBuhayh
- PhD Student
- INFORMATION SCIENCE
Anas Buhayh is a PhD student at the Recommender Systems Lab at the ÌÇÐÄVlogÆƽâ°æ, where his research investigates alternative architectures and technologies for building responsible and governable AI systems. His work emphasizes the importance of addressing the needs of stakeholders in sociotechnical systems. Anas also volunteers as a consultant for recommender system design and development.
A Fulbright alumnus from Libya, Anas holds a master’s degree in Information Management from Central Michigan University and a bachelor’s degree in Automation from the College of Computer Technologies in Tripoli, Libya. His professional experience includes roles in monitoring and evaluation with the World Health Organization and the International Rescue Committee, where he focused on aligning project outcomes with stakeholder needs.
Anas is passionate about data analytics, machine learning, and systems design. In his free time, he enjoys programming, playing the guitar, and staying active.