Mohamed Amine Ketata


Amine holds a bachelor’s degree in Electrical and Computer Engineering from TUM. Currently, he is enrolled in the master’s program Robotics, Cognition, Intelligence. He is mostly interested in the reliability of machine learning models deployed in safety-critical applications. Besides his work experience at different high-tech companies, he worked as a research assistant at the Data Analytics and Machine Learning Group at TUM on “uncertainty estimation in graph neural networks for molecules”. Since September he is a relAI member.

relAI Topics: Graph neural networks, Machine Learning in Biology