Quick Intro

Currently doing a research fellowship at National University of Singapore (NUS) at the NeXT Lab under Prof. Tat-Seng Chua and Yunshan Ma.
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

Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery : In ECIR 2024. Salganik, R. Diaz, F, and Farnadi, G. (2024)
Harms from Increasingly Agnetic Systems : In FAaCT 2023. A, Chan., R. Salganik, Markelius,A. , Pang,C., Rajkumar,N. et al. (2023)
Analyzing the Effect of Sampling in GNNs on Individual Fairness: In: RecSys 2022 FaccTRec Workshop. Salganik, R., Diaz, F., Farnadi, G. (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: In: Missing Links in AI Governance. Farnadi, G., Leal, A. and Salganik, R. (2022)