Mido is a researcher at Facebook AI Research (FAIR) and Mila – Quebec AI Institute. He is an NSERC Vanier Scholar and holds a Vadasz Doctoral Fellowship in Engineering at McGill University. His research focuses on developing machine learning algorithms, with an emphasis on the data-/time-/energy-efficiency of learning. He is interested in optimization, distributed computing, and self-/semi-/weakly-supervised learning. His previous work has spanned both large-scale empirical analyses and theoretical studies.