Federico Raimondo
Team leader at the Institute of Neuroscience and Medicine (INM-7) and research software engineer for various software projects, among them julearn.
AI-supported research must be trustworthy and robust. This means methods and results that are bias-free and consistently tested for generalizability. In julearn, the ABCD-J project provides software that simplifies complex machine learning methods and prevents typical errors such as data leakage. This makes machine learning simpler and more trustworthy.