He received the Ph.D degree in Computer Science in 2002 from the University of Pisa with a thesis on modeling artificial neural networks through formal methods. From 2002 to 2008 he served as researcher in the Adaptive Advisory Systems Group at the Istituto Trentino di Cultura, investigating machine learning models for structured data and contextual processing, mainly applied to information retrieval and text data management. In 2008 he moved to the Neuroinformatics Laboratory (NiLab) at FBK after winning a brain decoding international challenge. The activity was centered on studying multivariate pattern analysis methods for brain decoding and brain mapping from functional brain magnetic resonance imaging. In 2010 he became tenured researcher at FBK. From 2011 to 2020 he also joined as a visiting scientist the Pattern Analysis and Computer Vision department at the Istituto Italiano di Tecnologia, leading the activities in biomedical imaging.
Researcher at Digital Health & Wellbeing Center, DSH -Data Science for Health unit.
His research is on machine learning and pattern recognition methods, with application to various domains, like information retrieval, structured data analysis, computer vision, neuroimaging and biomedical imaging. The most significant recent research activity spans various automatic methods for medical image analysis, animal phenotyping, ranging from video and signal analysis for social and non-social behavior understanding, to the investigation of corresponding neuronal correlates: from functional and structural brain imaging down to the analysis of meso-scale neuronal network populations.
He has co-authored more than 90 peer-reviewed publications, published in referred international journals and conferences.
April 12, 2023Artificial Intelligence to optimize CTThe Fondazione Bruno Kessler is collaborating on a model for automated analysis of CT images using artificial intelligence algorithms.
February 1, 2022AI made in Italy launches the international challenge against Covid: “Covid CXR Hackathon” promoted by IIT, FBK and UNIMORE presented at Expo 2020 DUBAIData scientists from all over the world united in a virtual challenge on Covid-19 data. The online hackathon is open to students, PhD students and teams of researchers called to solve a real and compelling problem in medical imaging. The goal: to support healthcare professionals with prognosis activities starting from chest radiographs and clinical data collected in hospital triage.