I am an Assistant Professor in the Datascience group of the Department of Electronics, Information and Bioengineering at Politecnico di Milano.
My research focuses on the development and application of data-driven computer science and network science methodologies to study large-scale phenomena in online social networks and media.
Recently, I have been working on leveraging online social media data to study the real-world effects of information disorders as well as understanding the socio-economic consequences of the COVID-19 pandemic.
Master thesis proposals for POLIMI students:
- Leveraging Large Language Models (chatGPT et al.) to detect and fact-check online misinformation
- Detecting and modeling Coordinated Inauthentic Behavior on Meta platforms
- Investigating conspiracy theories on TikTok and YouTube
- Investigate political targeted advertisement on Meta (Facebook, Instagram) platforms
- Studying adolescents' usage of social media through digital data donations
I was a Visiting Fellow Researcher at the Information Sciences Institute (ISI),
University of Southern California, working with prof. Emilio Ferrara.
I received my Ph.D. Cum Laude in "Data Analytics and Decision Sciences" from Politecnico di Milano,
under the supervision of prof. Stefano Ceri
and prof. Fabio Pammolli.
I was also a Visiting Fellow Researcher in the NaN group at
Indiana University's Observatory on Social Media (OSoMe)
led by prof. Filippo Menczer.
I am affiliated with Facebook "Data for Good" program to understand the socio-economic impact of mobility restrictions due to COVID-19 pandemic
(check out our research featured on the Proceedings of the National Academy of Sciences of the United States of America ).
I practice capoeira in the Sul Da Bahia academia in Milan.
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