Milli Letizia

Milli Letizia is an Assistant Professor in the Department of Computer Science at the University of Pisa, Italy. She is a member of the Knowledge Discovery and Data Mining Laboratory (KDDLab), a joint research group connecting the University of Pisa, CNR-ISTI, and Scuola Normale Superiore. Her work bridges theoretical and applied aspects of network science, data mining, and computational social science.

Education:

• PhD in Computer Science, University of Pisa (2018)
• Master Degree in Computer Science, University of Pisa, magna cum laude (110/110 cum laude, 2013)
• Bachelor Degree in Mathematics, University of Pisa (2010)

Her research focuses on data mining, complex networks, diffusion of innovation, quantification, and the science of success. She investigates how information, behaviors, and diseases spread across networks, using both data-driven and simulation-based approaches. Her work integrates machine learning, network modeling, and social theory to understand spreading phenomena in real-world systems.

The trend in her recent publications reveals a strong emphasis on modeling diffusion processes in complex networks, with a focus on algorithmic bias, community-aware diffusion, and opinion dynamics. She has developed influential open-source tools such as NDlib and CDLIB, which are widely used in network science for simulating diffusion and detecting communities. Her work spans disciplines including computer science, public health, and social science, demonstrating interdisciplinary impact.

Scientific Service and Recognition:

• Program Committee Chair, 3rd and 4th International Workshop on Dynamics in Networks (DyNo) at PKDD 2017 and ASONAM 2018
• Program Committee Member, NetSciX 2019, DATA ANALYTICS 2017–2019, GOODTECHS 2017, DataMod 2018
• Member of Local Organizing Committee, XIII AI*IA Symposium on Artificial Intelligence (2014)

She has contributed to major EU projects including SoBigData++, HumanE-AI-Net, SBD@RT, and CIMPLEX. Although no formal advising or grant leadership is explicitly mentioned, her active research output and tool development suggest significant involvement in funded research and potential mentorship. She has taught courses on data mining, big data analytics, and databases at both undergraduate and master’s levels.

Milli Letizia is affiliated with the Knowledge Discovery and Data Mining Laboratory (KDDLab), a leading interdisciplinary research group focused on big data analytics, social mining, and network science. The lab fosters collaboration between academia and research institutions, promoting innovation in data-driven societal applications.