Team

HEAD OF UNIT

Riccardo Gallotti

email: rgallotti@fbk.eu

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Interdisciplinary physicist, with research interests ranging within complexity science, computational social science, and data science. Prior affiliations:

RESEARCHERS

Oriol Artime

Postdoctoral Researcher

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.

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Lucila Alvarez-Zuzek

Postdoctoral Researcher

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.

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Antoine Houssard

Research Assistant

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.

AFFILIATED FELLOWS

PHD STUDENTS

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Arsham Ghavasieh

PhD in Physics, UniTN

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.

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Sebastiano Bontorin

PhD in Physics, UniTN

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.

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Alberto Amaduzzi

PhD in Physics, UniBO

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.

Giacomo Barzon

PhD in Physics, UniPD

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.

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Anna Bertani

PhD in Information Engineering and Computer Science, UniTN

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.



VISITING STUDENTS

Elisabeth Stockinger

Visiting PhD, ETH Zürich (CH)

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.

MASTER'S STUDENTS & INTERNS

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Veronica Orsanigo

MSc in Data Science, UniTN

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

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Luigi Arminio

MSc in Data Science, UniTN

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

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Andreas Baumgärtner

Double MSc in Physics, UniTN & University of Tübingen (DE)

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

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Gaia Colombani

MSc in Mathematics, UniTN

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

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Ulysse Marquis

Double MSc in Data Science, PoliTO & Ensimag Grenoble (FR)

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.



FORMER MEMBERS

Giulia Dalle Sasse: Master's student in Data Science, UniTN.Thesis: The rhythm of lockdown: its influence on Twitter user's activity and misinformation spreading. Until: September 2022
Alessandro Canevaro: T.I.M.E. double degree program: MSc in Control Systems Engineering, UniPD and MSc in Computer Science and Engineering, DTU (DK).Internship: Feature-based bond percolation in complex networks.Until: August 2022