Mo received a Ph.D. degree (2012) in Computer and Communication sciences from the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. His thesis focused on compressive sampling and source separation strategies for multichannel data. In 2013, he moved to Paris doing a postdoc in Applied Mathematics Research Center (CEREMADE-CNRS), Université Paris Dauphine, France. His research interests include signal/image processing, machine learning, inverse problems, sparse approximation (models, algorithms, analysis), compressed sensing, high-dimensional matrix factorization with applications in multichannel signal/image/speech blind source separation. Mo joined the DSP group in January, 2014.