Summary
Federico Cinus is an AI researcher with eight years of experience at the intersection of machine learning, optimization, and information ecosystems, currently working at Intesa Sanpaolo after roles at CENTAI, ISI Foundation, and a PhD at Sapienza. He develops algorithms that learn from external information sources—social media, web data, and institutional communications—to model how signals shape collective behavior and financial markets. His toolkit blends graph mining, online learning, and mathematical optimization, with recent focus on LLM safety and web-enabled AI agents. Notably, his background in physics of complex systems informs a quantitative, systems-level approach to sociotechnical information dynamics. Based in Italy, he combines academic rigor with industry impact, bridging theory and deployable AI for real-world information environments.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree [3 years], Physics, Bachelor's degree [3 years], Physics at Università degli Studi di Cagliari
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at Sapienza Università di Roma
Master's degree [2 years], Physics of Complex Systems, Master's degree [2 years], Physics of Complex Systems at Università degli Studi di Torino