Filippo Guerranti

Filippo Guerranti is a PhD student in Computer Science at the Technical University of Munich (TUM), working within the Department of Informatics (I26) under the supervision of Prof. Stephan Günnemann in the Data Analytics and Machine Learning research group.

His research focuses on machine learning for graph-structured data, with specific interests in graph representation learning, graph contrastive learning, and applications of graph ML in biological domains. His work bridges theoretical machine learning with practical applications in science.

Guerranti's recent publications demonstrate expertise in applying graph neural networks to spatial transcriptomics, developing structure-aware fine-tuning methods for LLMs, and analyzing adversarial robustness in graph contrastive learning frameworks.

• Best Student Award, Master's degree in Computer and Automation Engineering, University of Siena

As a PhD researcher, Guerranti contributes to teaching activities at TUM while advancing his research in graph machine learning. His GitHub presence and academic publications reflect an active research trajectory with growing impact in the machine learning community, particularly in the specialized domain of graph-based learning systems.