Wojciech Samek has founded and is heading the Machine Learning Group at Fraunhofer Heinrich Hertz Institute since 2014. He studied computer science at Humboldt University of Berlin, Heriot-Watt University and University of Edinburgh from 2004 to 2010 and received the Dr. rer. nat. degree with distinction (summa cum laude) from the Technical University of Berlin in 2014. In 2009 he was visiting researcher at NASA Ames Research Center, Mountain View, CA, and in 2012 and 2013 he had several short-term research stays at ATR International, Kyoto, Japan. He was awarded scholarships from the European Union's Erasmus Mundus programme, the Studienstiftung des deutschen Volkes and the DFG Research Training Group GRK 1589/1. He is PI at the Berlin Institute for the Foundation of Learning and Data (BIFOLD), member of the European Lab for Learning and Intelligent Systems (ELLIS) and associated faculty at the DFG graduate school BIOQIC. Furthermore, he is an editorial board member of Digital Signal Processing, PLOS ONE and IEEE TNNLS and an elected member of the IEEE MLSP Technical Committee. He has organized special sessions, workshops and tutorials at top-tier machine learning conferences (NIPS, ICML, CVPR, ICASSP, MICCAI), has received multiple best paper awards, and has authored more than 100 journal and conference papers, predominantly in the areas deep learning, interpretable machine learning, neural network compression and federated learning.