Mahmoud Youssef is a Research Scientist and PhD Candidate at Wrocław Tech. His research focuses on privacy and trustworthiness in machine learning, with particular interests in machine unlearning, model memorization, and privacy-preserving synthetic data generation.

His doctoral work investigates how synthetic data can protect sensitive information while preserving its usefulness for machine learning, including across different data types and in settings where data distributions change over time. His broader research interests include generative AI, differential privacy, continual learning, and explainable AI.

He holds a master’s degree in Applied Computer Science from Wrocław Tech, where he received recognition for his academic performance, and a bachelor’s degree in Computer Science from Damietta University in Egypt.