I am a Research Scientist in Meta AI Research (FAIR). Previously, I was a post-doctoral researcher at Montreal Institute for Learning Algorithms, advised by Prof. Yoshua Bengio. My postdoctoral research revolved around deep learning techniques to tackle biomedical challenges, such as the ones posed by imaging multi-modality, high dimensional data and graph structured data. I received my PhD from the University of Barcelona in 2015. My thesis was on assisting the training of deep neural networks with applications to computer vision, advised by Dr. Carlo Gatta. My PhD included contributions in the fields of representation learning and model compression, with applications to image classification, image segmentation and remote sensing.
Deep learning, computer vision, graphs, multi-modality, and medical imaging