Invited talks

• "Explainable Machine Learning with Fredholm Neural Networks" - CRUNCH Seminar at Brown University (available here) (2025)

• "A novel time-slicing approach for machine learning models for seasonal time-series data" - AI Summit, Athens, Greece (2023)

• "Partial Integro-differential Equations and jump-diffusion models in credit risk" - AUEB Summer School on Risk, Finance and Stochastics (2022)

• "Markov chain lumpability and algorithms for high dimensional processes” – AUEB Seminar for Computer Science and Statistics (2020)

• “Markov chains in credit risk modelling and recent developments” – AUEB Summer School on Risk, Finance and Stochastics (2019)