Quick Intro
Currently doing a PhD at the University of Rochester (in New York) with Prof. Jian Kang.
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
2025
The Music Discovery Circuit: A Conceptual Framework for Music Discovery on Online Platforms: Forthcoming.
MusicSem: A Dataset Of Music Description on Reddit Capturing Musical Semantics. Forthcoming.
FairExpand: Individual Fairness on Graphs with Partial Similarity Information: Forthcoming.
2024
LARP: Language Audio Relational Pre-Training for Cold Start Playlist Continuation : KDD 2024. Salganik, R. , Liu, X. , Ma, Y., Kang, J., Chua, T. (2024)
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery : ECIR 2024. Salganik, R. Diaz, F, and Farnadi, G. (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. 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: Missing Links in AI Governance. Farnadi, G., Leal, A. and Salganik, R. (2022)
Some Fun Personal ComPuter Science Projects
Recreating Rats Navigating Mazes With Reinforcement Learning
Keywords: Reinforcement Learning, Artificial Intelligence, Biology, Maze Navigation
Hit Music Prediction Problem
Keywords: Machine learning, music, hit music prediction, Spotify, MIR
Genre Classification From Lyrical Content
Keywords: Machine Learning, Natural Language Processing, Genre Classification
Good, Clean, Fair (In Progress)
A website for gathering data about skincare
Keywords: website design, software engineering
