André Anjos received his Ph.D. degree in signal processing from the Federal University of Rio de Janeiro in 2006. He joined the ATLAS Experiment at European Centre for Particle Physics (CERN, Switzerland) from 2001 until 2010 where he worked in the development and deployment of the Trigger and Data Acquisition systems that are nowadays powering the discovery of the Higgs boson. During his time at CERN, André studied the application of neural networks and statistical methods for particle recognition at the trigger level and developed several software components still in use today. In 2010, André joined the Biometrics Security and Privacy Group at the Idiap Research Institute where he worked with face and vein biometrics, presentation attack detection, and reproducibility in research. Since 2018 André heads the Biosignal Processing Group at Idiap. His current research interests include medical applications, biometrics, image and signal processing, machine learning, research reproducibility and open science. Among André's open-source contributions, one can cite Bob and the 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 master courses at Idiap's Master of AI. He serves as reviewer for various scientific journals in pattern recognition, machine learning, and image.
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André Anjos received his Ph.D. degree in signal processing in 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 works with biosignal processing and biometrics applications. He currently heads the Biosignal Processing Group at Idiap. Current interests include reproducible research and open-science for medical applications, biometrics, image and signal processing, and machine learning. André teaches graduate-level machine learning courses at the École Polytechnique Fédérale de Lausanne (EPFL) and Idiap's Master of AI and serves as reviewer for various scientific journals in pattern recognition, image processing and biometrics.