During this period, André explored the application of neural networks and statistical methods to particle recognition, contributing several software components that remain in use today. In 2010, André joined the Biometrics Security and Privacy Group at the Idiap Research Institute where he focused on face and vein biometrics, and presentation attack detection, with a keen interest in reproducibility and open sciences. Since 2018 André leads the Medical AI Group (MedAI) at Idiap, investigating medical applications, image and signal processing, machine learning, research reproducibility and open science. Among André's open-source contributions, one can cite Mednet and the BEAT framework for evaluation and testing of machine learning systems. He teaches graduate-level machine learning courses at the École Polytechnique Fédérale de Lausanne (EPFL), and Idiap's Master of AI. He serves as reviewer for various scientific journals in pattern recognition, machine learning, and image processing.