Emilio DALLA TORRE

Position
Subject expert
E-mail
emilio.dallatorre@unive.it
Website
www.unive.it/people/emilio.dallatorre (personal record)
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais

Graduated in Engineering Physics (Class CT8) at Università Ca' Foscari di Venezia in 2024, I specialize in developing machine learning (ML) models and embedded ML with a focus on healthcare technology and platforms.

Collaborator at Università di Milano-Bicocca between 2023 and 2024, where I worked with Professor Marco Nobile and Professor Daniela Besozzi on the THAITI project, a machine learning model and mobile application designed to estimate Inversion Time in Late-Gadolinium Enhanced MRI. My role encompassed the design, implementation, and validation of the model, as well as the integration of user-centric features for enhanced medical usability. Additionally, I developed Bookaround, a mobile application created as part of a commitment to open-source and free-to-use solutions, facilitating the buying and selling of used school books, streamlining the process for students, and promoting sustainable practices in educational resources.

My professional experience includes working at Accenture and PwC in their Digital Innovation groups, where I took part in AI projects aimed at leveraging cutting-edge technologies to drive business transformation and innovation.

My research interests include the intersection of artificial intelligence and healthcare, and the embedding of ML models on handheld devices. I am particularly focused on leveraging AI to improve diagnostic tools and exploring novel applications of technology to address real-world challenges in "sanitech" and beyond.