I am now enrolled as a PhD student at the Structured Machine Learning Group, actively participating in the TANGO project under the supervision of Andrea Passerini.
Main courses:
Developed a personalized recommendation module for a food e‑commerce platform, generating optimized product bundles from user profiles.
I operate as a Junior Researcher and Technologist for the Data Science for Health Unit.
arXiv
Erich Robbi, Daniele Ravanelli, Andrea Passerini
European Society for Vascular Surgery 39th Annual Meeting
Erich Robbi, Daniele Ravanelli, Igor Raunig, Sara Allievi, Annalisa Trianni, Andrea Passerini, Stefano Bonvini
Data Science Internship
From a 2017 preference-elicitation algorithm to a Python implementation and, eventually, a recommender system for environmentally friendly grocery bundles.
Knowledge and Graph Engineering
During this course, we created a Knowledge Graph that assists parents and students in locating schools in the Trentino area by city, municipality, school type, course length, instructional activity schedules, contact information, and education metrics. The project report is available at this link.
Final mark: 30/30 Cum Laude
Presented a real‑world case study demonstrating the integration of an AI‑based prediction model into laboratory medicine workflows to support clinical decision‑making
Showcased how machine learning techniques can enhance diagnostic precision, reduce turnaround times, and support evidence‑based clinical judgments.