I am a PhD student at the University of Warwick in the Department of Computer Science and member of the Warwick Machine Learning Group, supervised by Prof. Theodoros Damoulas.

I hold the “Onassis Scholarship for Doctoral Studies” fellowship of the Onassis Foundation and my research is also supported by the UKRI Turing AI Acceleration Fellowship on Machine Learning Foundations of Digital Twins, awarded to Prof. Theodoros Damoulas.

Prior to my PhD, I completed the MSc in Machine Learning at UCL with Distinction where I was fortunate to work with Prof. Theodoros Damoulas and Prof. Brooks Paige and the 4-year BSc in Mathematics at the National and Kapodistrian University of Athens with First-Class Honours.

For a more detailed overview of my academic and professional background, please refer to my CV (last updated: Jun. 2025).

Stay tuned for my upcoming talks!

Research Interests

My research lies at the intersection of Causality and Probabilistic Machine Learning, with a focus on Causal Representation Learning in multi-scale systems. I study 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, I have been developing methodologies that make it possible to learn such abstractions directly from data using advanced statistical learning techniques. This work contributes to the theoretical foundations of causally-inspired Digital Twins and their potential applications in the social sciences and decision-making theory. I also have a strong personal interest in the philosophy of causation and the emergence of structure in natural systems.