Summary
Luca Pasa is an Assistant Professor in Mathematics at the University of Padova with around a decade of research experience at the intersection of machine learning, deep learning and computational neuroscience. He holds an MSc and a PhD in Computer Science from Padova and has held postdoctoral appointments at the Istituto Italiano di Tecnologia and Padova’s Human Inspired Technologies center, focusing on automatic speech recognition and learning on structured domains. His current work applies deep learning to sequences, trees and graphs, blending theoretical foundations with applied problems in speech and neural modeling. Known for rigorous academic training and cross-disciplinary collaborations, he brings both mathematical depth and practical experience in deploying ML methods to structured, real-world data.
9 years of coding experience
7 years of employment as a software developer
Laurea, Informatica, 107/110, Laurea, Informatica, 107/110 at Università degli Studi di Padova
Diploma di perito industriale per l'informatica, informatica, Diploma di perito industriale per l'informatica, informatica at I.T.I.S. Einaudi