Yorgos Felekis

About

Yorgos is a PhD student at the Department of Computer Science, supervised by Prof. Theodoros Damoulas and he is also a member of the Warwick Machine Learning Group. Prior to his PhD, he completed the MSc in Machine Learning at UCL and the 4-year BSc in Mathematics at the National and Kapodistrian University of Athens.

Research Interests

His research lies at the intersection of Causality and Probabilistic Machine Learning, with a focus on Causal Representation Learning in multi-scale systems. He studies foundational questions in this area through the framework of Causal Abstraction, which formalizes how causal models describing the same system at different levels of granularity can be related in a consistent and principled way. In particular, he has been developing methodologies that make it possible to learn such abstractions directly from data using advanced statistical learning techniques.

Personal website: https://yfelekis.github.io

Publications: Google Scholar profile.