Evangelos holds an MEng in Electrical and Computer Engineering from the National Technical University of Athens. He has research experience in extracting meaningful representations from time-series data and applying them to downstream tasks, such as forecasting and anomaly detection. His thesis, titled ‘Relapse Prediction from Long-Term Wearable Data Using Self-Supervised Learning and Survival Analysis,’ was presented at the ICASSP 2023 conference in Rhodes.