Speaker: Leonardo De Grandis
22 Maggio 2026 | 11:30
DEIB - NECSTLab Meeting Room (Ed. 20)
Online by Zoom
Contatti: Prof. Marco Santambrogio
Sommario
On Friday, May 22nd, 2026, we will have a new talk for the series #NECSTFridayTalk.During this talk, we will have, as speaker, Leonardo De Grandis, PHD Student in Information Technology at Dipartimento di Elettronica, Informazione e Bioingegneria.
Graphs are a powerful way to represent heterogeneous biological entities and their interactions. As a result, Graph Machine Learning (GML) is increasingly used to study biological networks. This talk covers the key steps of applying GML in a multi-omics context, from raw data processing to model development. Since data aggregation and harmonization remain bottlenecks for large scale artificial intelligence applications, two methods for consistently collecting high-quality genomic variants and multi-omics data will be presented. Finally, two different approaches for multi-omics GML applications will be introduced: a tool for compound-protein interaction prediction leveraging graph matching networks and a framework for toxicity detection on RNA-seq data.
The NECSTLab is a DEIB laboratory, with different research lines on advanced topics in computing systems: from architectural characteristics, to hardware-software codesign methodologies, to security and dependability issues of complex system architectures.
#NECSTLab #Computerscience
Every week, the “NECSTFridayTalk” invites researchers, professionals or entrepreneurs to share their work experiences and projects they are implementing in the “Computing Systems”.