Pioneer Centre for AI Talk: Dr. Enzo Ferrante
Summary
Medical institutions around the world are adopting machine learning (ML) systems to assist in analyzing health data; at the same time, the research community of fairness in ML has shown that these systems can be biased, resulting in disparate performance for specific subpopulations. Dr Ferrante received his Systems Engineering degree from UNICEN University (Argentina), completed his PhD in Computer Sciences at Université Paris-Saclay and INRIA (Paris, France), and worked as a postdoctoral researcher at Imperial College London in the UK. He has also been a visiting student at the CVGL Lab at Stanford University (2014) and Fulbright Visiting Researcher at the A. Martinos Center for Biomedical Imaging (Massachusetts General Hospital - Harvard Medical School, 2021) in Boston. In 2020 Dr Ferrante received the Young Researcher Award from the National Academy of Sciences of Argentina and the Mercosur Science & Technology Award for his scientific contributions to AI for medical image computing. His research interests span artificial intelligence and biomedical image analysis, focusing on deep learning methods.