Anas Buhayh

Hi, I'm Anas, a PhD student in Information Science at the University of Colorado Boulder. My research focuses on algorithmic governance, fairness in recommender systems, and participatory design of sociotechnical systems. I am advised by Robin Burke at That Recommender Systems Lab.

I’m interested in how users and communities can meaningfully influence recommender systems. My work explores algorithmic choice, stakeholder governance, and simulation-based methods to study fairness and accountability in multi-stakeholder platforms.

I like building recommender systems that people can shape — systems that don’t just optimize for clicks, but also consider who gets seen, what values are embedded, and how trade-offs play out in practice.

Teaching

  • INFO 4604: Applied Machine Learning, Summer 2025
  • INFO 2201: Programming for Information Science, Summer 2023 & 2024

Projects

  • SMORES: A simulation framework to evaluate algorithm stores in multi-stakeholder recommender ecosystems.
  • SCRUF: Modeling fairness in recommendation as allocation & aggregation via social choice mechanisms.
  • CORGI: A governance-oriented recommendation systems architecture.

Publications