André Anjos

André Anjos holds a Ph.D. degree in signal processing and machine learning (2006) studying the application of neural nets and statistical methods for particle recognition in the context of High-Energy Physics experiments at Large Hadron Collider at CERN, Switzerland. He joined the Idiap Research Institute in 2010 where he focused on biometrics applications. Nowadays, André leads the Medical AI Group at Idiap. Current interests include medical decision making, image and signal processing, machine learning, research reproducibility and open science. André teaches graduate-level machine learning courses at the École Polytechnique Fédérale de Lausanne (EPFL), Idiap’s Master of AI and serves as reviewer for various scientific journals in pattern recognition, image processing and biometrics.