Summary
Gabriele Pozzati is a computer scientist specializing in deep learning for protein structure prediction, with eight years of research experience spanning a PhD and postdoc at Stockholm University. Trained in bioinformatics and molecular biotechnology in Bologna and Turin, he combines wet-lab experience with strong computational skills—his master’s traineeship produced a DL model predicting flexible regions from sequence. A scholarship-funded PhD in the Elofsson group reflects both scientific promise and persistence, and he values openness, constructive critique, and sharing failures as well as successes. Based in Uppsala, he seeks to translate rigorous research into meaningful discoveries that benefit the wider scientific community.
8 years of coding experience
1 year of employment as a software developer
Laurea Magistrale LM, Molecular Biotechnology, 107/110, Laurea Magistrale LM, Molecular Biotechnology, 107/110 at Università degli Studi di Torino
Laurea Magistrale LM, Bioinformatics, 110/110, Laurea Magistrale LM, Bioinformatics, 110/110 at Alma Mater Studiorum - Università di Bologna
Italian, English