Cem Subakan is an Assistant Professor at Université Laval in the Computer Science and Software Engineering department. He is also currently an Affiliate Assistant Professor at the Concordia University Computer Science and Software Engineering Department, and an Associate Academic Member at Mila-Québec AI Institute. He received his PhD in Computer Science from University of Illinois at Urbana-Champaign (UIUC), and did a postdoc in Mila Québec AI Institute. He serves as reviewer in several conferences including NeurIPS, ICML, ICLR, ICASSP, MLSP and journals such as IEEE Signal Processing Letters (SPL), IEEE Transactions on Audio, Speech, and Language Processing (TASL). His principal research interest is in Machine Learning for Speech and Audio. More specifically, he works on Deep Learning for Source Separation and Speech Enhancement under realistic conditions, Neural Network Interpretability, Continual Learning and Multi-Modal Learning. He is a recipient of student best paper award in the 2017 version IEEE Machine Learning for Signal Processing Conference (MLSP), as well as the Sabura Muroga Fellowship from the UIUC Computer Science department. He’s a core contributor to the SpeechBrain project, leading the speech separation part.