Leonidas Christodoulou

Applied Machine Learning • Data Science • Explainable AI

About

I am a researcher and data scientist working on applied machine learning and explainable AI, with a focus on decision-grade modelling in real-world settings. My research is interdisciplinary, spanning both ML methodology and applications across domains including agriculture, energy systems, and scientific data analysis.

For more, see my Publications and Google Scholar.

Current focus

Causal ML / DML Counterfactuals Explanations Robustness & ML Uncertainty

News

2026
  • Paper on the interplay between sources of ML uncertainty and counterfactual explainables in XAI published in ESWA (arXiv).
  • DAIRY project well underway.