MINDS CDT, 2021
Doctoral Researcher, University of Southampton
His research examines how the distribution of user interests across a network affects the way link prediction models learn, and how accurately they rank connections for different types of users. The findings have direct implications for the fairness and relevance of recommendations: if a model learns in ways that are shaped by network structure, some users will consistently receive less relevant suggestions than others.
Kieran is completing his thesis and is due to graduate in 2026.
