PhD in Computer Science
King's College London
The Use of Spatial Preference Models in Bridging Systems
Researching how spatial preference models such as the left-right political spectrum (and higher-dimensional variants) can be used in recommender systems to perform bridging-based ranking.
Derived lower bounds on the expected error when using Euclidean preference models (and more generally, vector embeddings) to represent ordinal preferences.
Co-authored, together with Aviv Ovadya, a working paper on Bridging Systems.
Co-author, together with Jonathan Stray and Pri Benghani, the Understanding Recommenders research blog at CHAI, UC Berkeley.
Served on Staff-Student Liaison Committees for the STAI CDT (2021-22) and Department of Informatics (2021-23).