Focus Period lund 2026
Assistant Professor
Johns Hopkins University (USA)
Nicolas Loizou is Assistant Professor in the Department of Applied Mathematics and Statistics (AMS) and the Mathematical Institute for Data Science (MINDS), with a secondary appointment in the Department of Computer Science at Johns Hopkins University. He is also affiliated with the JHU Machine Learning Group and the Ralph O’Connor Sustainable Energy Institute (ROSEI).
Nicolas Loizou’s 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.
Prior to this, he was an IVADO postdoctoral fellow at Mila – Quebec Artificial Intelligence Institute and DIRO, UdeM, where he worked closely with Simon Lacoste-Julien and Ioannis Mitliagkas. He obtained his PhD from The University of Edinburgh, School of Mathematics in 2019, under the supervision of Peter Richtarik. Before that, Nicolas Loizou spent 4 years in Athens as undergraduate student in the Department of Mathematics at National and Kapodistrian University of Athens and 1 year as postgraduate student at Imperial College London where he obtained an MSc in Computing. During the fall of 2018, he was a research intern at Facebook AI Research in Montreal, Canada.