Applied Research Scientist · Medical AI
I design and deploy intelligent systems that bridge the gap between cutting-edge research and real-world impact.
From medical imaging pipelines to autonomous robot perception, I help teams ship production-ready AI—fast.
I'm an engineer (Ordine degli Ingegneri, Forlì-Cesena) with a Ph.D. in ICT for Health and international experience across medical AI, human-centered design and robotics. Today I help healthcare institutions to validate, integrate, and maintain AI models for clinical imaging. My work spans foundation models trained on millions of endoscopic frames, EHDS-compliant data governance pipelines, and the engineering infrastructure that keeps them running. Whether you're a hospital deploying your first clinical AI or an engineering team building medical imaging tools, I deliver systems that are technically sound and ready for the real world.
Foundation-model pipeline for gastroenterology imaging with cloud-scale experimentation
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Joined the Commission for Information and Electronics Engineering, Ordine degli Ingegneri della provincia di Forlì-Cesena.
Attended MECSPE 2026, the international trade fair for the manufacturing industry, held in Bologna, Italy.
Kicked off a new consultancy project applying computer vision and AI to medical imaging.
Won 1st prize at the 2nd Startup Creation Lab — Università di Bologna, hosted at Laboratorio Aperto Forlì.
Launched updated portfolio showcasing recent projects, ML demos, and interests.
Joined the Ordine degli Ingegneri (Forlì-Cesena) — Sector A, Information Engineering.
Defended Ph.D. thesis "The Unscripted Encounter: Social Cues for Spontaneous Human-Robot Interactions" — Doctor Europæus label, University of Naples Federico II.
