Nicolas Loizou is an Assistant Professor in the Department of Applied Mathematics and Statistics and the Mathematical Institute for Data Science (MINDS), with a secondary appointment in the Department of Computer Science, at Johns Hopkins University.

Prior to this, he was a Postdoctoral Research Fellow at Mila – Quebec Artificial Intelligence Institute and the Université de Montréal. He completed his Ph.D. studies in Optimization and Operational Research at the University of Edinburgh, School of Mathematics, in 2019. His research interests include large-scale optimization, machine learning, randomized numerical linear algebra, distributed and decentralized algorithms, game theory, and deep learning. His current research focuses on the theory and applications of convex and non-convex optimization in large-scale machine learning and data science problems. He has received several awards and fellowships, including OR Society’s 2019 Doctoral Award (runner-up) for the ”Most Distinguished Body of Research leading to the Award of a Doctorate in the field of Operational Research”, the IVADO Postdoctoral Fellowship, COAP 2020 Best Paper Award and CISCO 2023 Research Award.