Research

My goal is to understand how human learning happens and how to use this insights to improve current machine learning models.

During this pursuit, I’ve had the chance to work on different problems in different domains, here there are some of the topics I’ve covered in the past:

Cine-MRI Reconstruction

iHealth Institute and CENIA

Unfolding the cortex via a mechanics-informed Graph Neural Network

PUC and University of Notre Dame

Meta Learning and Continual Learning

Master's Thesis