I am Stefano Sarao Mannelli, a tunure-track Assistant Professor in the Data Science and AI division in the Computer Science department of Chalmers University of Technology and Gothenburg University, and Visiting Lecturer at the University of the Witwatersrand. Prior to my current position, I worked as a postdoc with Andrew Saxe at the University College London and the University of Oxford and obtained a Ph.D. in Physics applied to Machine Learning at the University of Paris-Saclay supervised by Lenka Zdeborova. My research focuses on analysing machine learning problems using a model-based approach, where the complexity of the problem is reduced to obtain a parsimonious solvable model that still captures the phenomenon of interest. In my previous works, I applied several variations of this approach to study problems in learning, such as transfer learning, continual learning, and curriculum learning.