Enzo Ferrante

AI Researcher

I hold a PhD in Computer Science from Université Paris-Saclay and INRIA (France), and a Systems Engineering degree from UNICEN (Argentina). I was a postdoctoral researcher at Imperial College London (UK), a Fulbright Visiting Researcher at Harvard Medical School (US) and an Invited Professor at Université Paris-Saclay.

Currently, I’m a faculty researcher at CONICET–University of Buenos Aires in Argentina. My research interests span machine learning for computer vision and NLP, currently focusing on fairness and robustness, with applications in healthcare. My work on machine learning has earned awards such as the Mercosur Science & Technology Award, the Google Award for Inclusion Research, and the UK Royal Academy of Engineering’s Distinguished International Associate Award, among others.

About me

I hold a permenent position as CONICET faculty researcher in Argentina, leading a research line on machine learning methods for biological and medical image analysis at the Applied Artificial Intelligence Laboratory - LIAA (CONICET / Universidad de Buenos Aires) in Argentina. I'm also a professor at Universidad Torcuato Di Tella and Universidad de San Andrés, in Buenos Aires, Argentina. In 2012 I received my Systems Engineering Degree from UNICEN University, Tandil, Argentina. In May 2016, I defended my PhD thesis in Computer Sciences, at the Université Paris-Saclay (CentraleSupeléc / INRIA) in France (Paris) where I worked on deformable registration of multimodal medical images, using graphical models and discrete optimization techniques, under the supervision of Prof. Nikos Paragios. After that, until August 2017, I was a postdoc research associate at Imperial College London (BioMedIA lab), under the supervision of Prof. Ben Glocker working on deep learning and brain image segmentation.

I have also worked at several research institutes around the world. In 2023, I was an invited professor for half a year at Université Paris-Saclay (CentraleSupelec) in Paris, France. In 2021, I received a Fulbright Fellowship to visit the A. Martinos Center for Biomedical Imaging (Massachusetts General Hospital - Harvard Medical School) in Boston. In 2014, as PhD intern I spend 3 months working on shape understanding for the Computer Vision and Geometry Lab at Stanford University, California, USA. During 2010, I was an intern at STEEP Team (INRIA Grenoble, France) working on transport/land-use mathematical modeling. Before moving to Buenos Aires, I was a CONICET researcher at the Research Institute for Signals, Systems and Computational Intelligence, sinc(i), in Santa Fe, Argentina.

Contact email: eferrante (at) dc (dot) uba (dot) ar || ferrante.enzo (at) gmail (dot) com

Our team: colleagues, friends, master and PhD students.

Video presentations and talks

AI for Good Seminar


November, 2021: Invited talk about "Fairness of machine learning classifiers in medical image analysis" at the AI for Good series organized by International Telecommunication Union.

Responsible AI Seminar @ Technical University of Denmark


November, 2021: Invited talk at the Responsible AI Seminar organized by the Technical University of Denmark about fairness in machine learning for medical image analysis.

Khipu 2021


May, 2021: Invited talk at Khipu 2021 about self-supervised learning in biomedical image analysis, toghether with Yann Lecun and Sandra Avila.

Stanford AIMI Journal Club


August, 2020: Invited talk about our paper "Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis"

MINDS & CIS Seminar, Johns Hopkins University


September, 2020: Invited talk at the seminar organized by the Center for Imaging Science (CIS) and the Mathematical Institute for Data Science (MINDS), Johns Hopkins University. I presented our research line on anatomically plausible medical image segmentation, registration and reconstruction, featuring works from Lucas Mansilla, Agostina Larrazabal and Franco Matzkin.

Giambiagi Winter School 2020


August, 2020: I gave an introductory course to convolutional neural networks at the Giambiagi Winter School, organized by the Physics Department of Universidad de Buenoa Aires, Argentina. Talk in spanish.

Class 1:

Class 2:

Khipu 2019


November, 2019: I was invited as a plenary speaker to the 1st Latin American meeting on Artificial Intelligence, Khipu 2019, organized in Uruguay. My talk was an introduction to convolutional neural networks.

Publications

I'm including a list of selected publications, for a full list see my Google Scholar Profile. If you have troubles to access them, please email me.

Teaching


Courses



Advising