Team

Physicist and complex system scientist. PhD at IFISC (UIB-CSIC, ES), 2020. I use tools from network theory, statistical physics and stochastic processes to better understand and characterize complex systems. Always ready for innovative and interdisciplinary projects.

Interdisciplinary physicist focused on mathematical models to study human social behaviour using network science, statistical physics, and computer science tools. PhD at National University of Mar del Plata (AR), 2018. Currently, her research is focused on Cooperative AI frameworks and their application to complex systems.

Soon to be PhD candidate at Center for Internet and Society (CNRS, FR). I am interested in computational social sciences and more specifically in platform dynamic and online behaviour.

I work on statistical physics of complex information dynamics in a wide range of systems, especially biological ones. My interests also include network neuroscience and network machine learning.

Physicist by training, now interested in networks and complexity science applied to human mobility and urban systems. Also interested in the interface between deep learning and complex systems.

Physicist by education, my research focus on Urban mobility. I am specializing in data analysis while preserving a fondness on the theoretical aspects of the problem I face.

MSc in Physics of Data at the University of Padova, currently pursuing a PhD in Neuroscience at the Padova Neuroscience Center. My main interests regard the study of brain criticality and controllability.

Graduated in Data Science. I am interested in analysing social dynamics through data and network science. I am working on misinformation, political polarisation and collective attention in online social systems.

I investigate tools for fairer information flows online. My experience includes autonomous systems and artificial intelligence, data science and software engineering as well as media technology and design.

BA in Computer Science. My interest regards applications of Data Science in society and in the relationship between network science and machine learning.

BA in Sociology. Interested in the study of social media dynamics and online social interaction through text mining and network science techniques.

In my thesis work I am analysing urban flow networks and in particular their structural changes during the COVID-19 pandemic.

BA in Mathematics. My research focus on applied math in social science and data analysis.

Currently proceeding with my final project in CHuB on the study of human mobility networks. Broadly, interested in problem solving, from the creation of the model to the computation of the solution.