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Piero Fioretti is a researcher and data scientist specializing in complex systems, network science, and computational social science. His work often focuses on understanding and modeling phenomena at the intersection of technology and society, such as the spread of information (and misinformation), algorithmic fairness, bias in data, and the dynamics of social networks. He employs a multidisciplinary approach, leveraging tools from statistical physics, machine learning, and information theory to analyze large-scale datasets and develop theoretical frameworks. Piero is passionate about addressing societal challenges through quantitative methods and aims to contribute to more transparent, equitable, and robust socio-technical systems.
Piero Fioretti's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Contributed significant research to the understanding and mitigation of bias in algorithmic systems and data. His work explores how biases emerge and propagate in socio-technical systems and proposes methods for fairer machine learning models.
Published influential work on the dynamics of complex networks, particularly concerning information diffusion, epidemic spreading, and the predictability of collective human behavior. His research applies information-theoretic concepts to analyze these systems.
Successfully bridged methodologies from physics, computer science, and social sciences to tackle complex societal questions, providing novel insights into online polarization, echo chambers, and the impact of digital platforms on society.
Developed and applied mathematical and computational models to study various social phenomena, including opinion dynamics, collective decision-making, and the resilience of social systems to shocks or misinformation campaigns.
Politecnico di Torino - Year 2013
BigRock Institute of Magic Technologies - Year 2019
Udacity - Year 2017
Udacity - Year 2016
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Versy was a Spanish technology company that developed a no-code platform for creating immersive 3D and metaverse experiences for businesses and events. It aimed to simplify the creation of virtual worlds, allowing users to build, publish, and manage their own metaverses without requiring extensive coding knowledge. The platform was designed for various applications, including virtual showrooms, online events, and collaborative workspaces. Versy was acquired by Verse (a payments app, part of Block Inc.) in early 2023, and its original platform operations were subsequently wound down or integrated.
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