Focus Period lund 2026
Assistant Professor
Johns Hopkins University (USA)
Nicolas Loizou is an Assistant Professor in the Department of Applied Mathematics and Statistics and the Mathematical Institute for Data Science (MINDS) at Johns Hopkins University, where he leads the Optimization and Machine Learning Lab. Prior to this, he was a Postdoctoral Research Fellow at Mila – Quebec Artificial Intelligence Institute and the University of Montreal. He holds a Ph.D. in Optimization and Operational Research from the University of Edinburgh, School of Mathematics, an M.Sc. in Computing from Imperial College London, and a BSc in Mathematics from the National and Kapodistrian University of Athens.
His research interests include large-scale optimization, machine learning, randomized numerical linear algebra, distributed and decentralized algorithms, algorithmic game theory, and federated learning. He currently serves as action editor for Information and Inference: A Journal of the IMA, Optimization Methods and Software, and Transactions on Machine Learning Research. He has received several awards, including the OR Society’s 2019 Doctoral Award (runner-up), the IVADO Fellowship, the COAP 2020 Best Paper Award, the CISCO 2023 Research Award, and the Catalyst 2025 Award.