Germans Savcisens

Germans Savcisens is a Postdoctoral Research Associate at the Northeastern University within the Khoury College of Computer Science, affiliated with both the Network Science Institute and the Rad Lab. His research focuses on enhancing the transparency and security of machine learning models while exploring their applications in analyzing social and behavioral data.

• PhD in Computational Social Science from Technical University of Denmark (2023)
• Explored foundation models for life trajectory analysis in socioeconomic and health domains
• Research spans network science, machine learning, and human behavior intersections

His work includes development of the life2vec framework for high-dimensional life trajectory analysis, studies on epistemic stability in LLMs, and methodological contributions to graph embeddings with uncertainty quantification. Recent publications focus on veracity tracking in language models and multilingual discourse analysis regarding technology narratives.

Teaching experience spans multiple institutions and years:

• Autumn 2024: Machine Learning with Graphs (Northeastern University)
• Spring 2023: Algorithmic Fairness, Accountability and Ethics (IT University of Copenhagen)
• MSc Thesis supervision at Technical University of Denmark on topics like compliance rule detection and app usage modeling