Germans Savcisens is a Postdoctoral Research Associate at Northeastern University’s Khoury College of Computer Sciences, working with Professor Tina Eliassi-Rad. His research focuses on when and how large language models generate truthful, uncertain, or misleading information. More broadly, he aims to enhance the transparency, trustworthiness, and interpretability of machine learning systems for reasoning about knowledge.

He earned his PhD in Computer Science from the Technical University of Denmark, where he applied transformer models to study socioeconomic and health trajectories. His research examined how these models compress multimodal time series data and produce interpretable predictions.

In addition to his doctoral degree, Germans holds an MSc in Human-Centered Artificial Intelligence (Technical University of Denmark, 2020) and a BSc in Human-Computer Interaction (Aalborg University, 2016).