Quick Intro
Currently doing a PhD at the University of Rochester (in New York) with Prof. Jian Kang and Prof. Anson Kahng.
My research interests include: Individual Fairness in Graphs and Discovery in Recommender Systems
Completed a M.Sc at Université de Montreal (MILA) — see my thesis here!
My research interests include: Graph Neural Networks (GNN), Fairness, and Music Recommender Systems
I’m also organizing a fairness in information retrieval reading group: DEFIRST
If you’d like a more detailed insight into my professional experiences and computer science background, click to see my C.V.
Publications
2026
Informed Stakeholder Needs: Facilitating Music Artists' Understanding of Recommender Systems. Forthcoming.
Prefix-∗: Proportional Representation in Rankings. Forthcoming.
Position: Regulating Algorithms Is Not Enough. A Study of Content Discovery in Online Platforms. ICML 2026. R. Salganik, G. Galvan, A.Afilipoaie, G. Ferreira, V. Wiratama, A. Kahng, J. Kang, H. Ranaivoson
MusicSem: A Dataset Of Music Description on Reddit Capturing Musical Semantics. ISMIR 2025/NeurIPS 2025 AI4Music Workshop. R. Salganik, T. Tu, F. Chen, X. Liu, K. Lu, E. Luvisia, Z. Duan, G. Galvan, A. Kahng, Y. Ma, J. Kang
FairExpand: Individual Fairness on Graphs with Partial Similarity Information: Forthcoming.
2024
LARP: Language Audio Relational Pre-Training for Cold Start Playlist Continuation : KDD 2024. R., Salganik, X., Liu, Y., Ma, J., Kang, and T. Chua (2024)
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery : ECIR 2024. R., Salganik, F. Diaz, and G. Farnadi (2024)
2023
Harms from Increasingly Agentic Systems : FAaCT 2023. A, Chan., R. Salganik, Markelius, A., et al. (2023)
2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness: RecSys 2022 FaccTRec Workshop. R., Salganik, F. Diaz, and G. Farnadi (2022)
AI & Cities: Risks, Applications and Governance. Mila – Quebec Artificial Intelligence Institute & UN-Habitat. (2022)
The AI Industry Through the Lens of Ethics and Fairness: Missing Links in AI Governance. G. Farnadi, A. Leal, and R. Salganik (2022)
Invited Talks
2025
Data Skeptic (Podcast): Music Playlist Recommendations — https://podcasts.apple.com/us/podcast/data-skeptic/id890348705?i=1000734052989
Some Fun Personal ComPuter Science Projects
Recreating Rats Navigating Mazes With Reinforcement Learning
Keywords: Reinforcement Learning, Artificial Intelligence, Biology, Maze Navigation