Navigating the complexities of machine learning in healthcare: Case studies, insights, and challenges
Invited talk
Luxembourg Centre for Systems Biomedicine (LCSB) - University of Luxembourg, 4/05/2026
Conferences and talks
Modeling with Purpose: Robust and Interpretable AI From Clinical Use\r
Cases to Mapping Interdisciplinarity and Research ImpactKeynote4th Workshop of UMI Group - Mathematics for Artificial Intelligence and Machine Learning\nSapienza Università di Roma - Department of Mathematics "G. Castelnuovo", 22/01/2026
The presentation introduces ML frameworks for addressing methodological complexity and discusses strategies for handling data scarcity through careful cross-validation design.
MAPPING THE EVOLUTION OF DESIGN RESEARCH: A DATA-DRIVEN ANALYSIS OF INTERDISCIPLINARY TRENDS
Conference contributionDRS conference - Boston, USA, 26/06/2024
Le prospettive degli stakeholder in sanità e ricerca biomedica
PanelWorkshop presso Fondazione Giannino Bassetti - Milano, 27/05/2024
Lo spazio europeo dei dati sanitari: quali sfide e opportunità per il sistema Paese Italia?
AI uncovered: is it beneficial, overblown or risky?
Invited talkBologna Business School - UniBo, 21/03/2023
On LLMs and their limits
Un decennio di Open Data: una vittoria a metà?
Invited talkInternet Governance Forum - Italian chapter - Ancona, 19/11/2022
Open Data
Challenges in applying machine learning in real world scenarios
Invited talkBologna Business School - UniBo, 14/06/2022
Advantages and pitfalls of AI
Python in medicine: signal processing learning and visualization of temporal data.
KeynoteEuroScipy 2018 - Trento, Italy, 31/08/2018
THE TRANSCRIPTIONAL LANDSCAPE OF TRANSPLANTED
HUMAN HEMATOPOIETIC STEM CELLSInvited talkNext Generation Sequencing - Istituto Gaslini, 5/05/2016