Cristiano Landi (born in 1998 in Cecina, LI, Italy) is a Ph.D. student at the Department of Computer Science at the University of Pisa and a member of the Knowledge Discovery and Data Mining Laboratory (KDDLab), a research group in collaboration with ISTI-CNR of Pisa and Scuola Normale Superiore. Cristiano graduated with a Master’s Degree in Data Science & Business Informatics from the University of Pisa in 2022, with a thesis on “Interpretable Machine Learning Models for Trajectory Classification”. He also holds a Bachelor’s Degree in Computer Science from the same university, obtained in 2017.
Cristiano’s research focuses on developing alternative data representations to improve the performance of current state-of-the-art machine learning models. Throughout his academic career, he has collaborated with the Data Science Lab at the University of Piraeus, Greece, on “Mobility Data Representation for Sub-Trajectory Clustering.” His other research interests include Mobility Data Analytics, Explainable and Interpretable AI, and Human-Centered AI.
