Biography



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. He holds secondary appointments in the Departments of Computer Science and Electrical and Computer Engineering.

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 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 Fellowship, the COAP 2020 Best Paper Award, the CISCO 2023 Research Award, and the Catalyst 2025 Award.


Bio Summary



Professional Appointments
  • Assistant Professor, Johns Hopkins University,
    Dep. of Applied Mathematics and Statistics, Jan. 2022 - present
    Mathematical Institute for Data Science, Jan. 2022 - present
    Dep. of Computer Science, Jan. 2022 - present
    Dep. of Electrical and Computer Engineering, Jan. 2024 - present
    Data Science and AI Institute, Jan. 2024 - present
  • IVADO Postdoctoral Research Fellow,
    Mila - Quebec Artificial Intelligence Institute, Université de Montréal, Sept. 2019 - Dec. 2021
  • Research Intern (AI), Facebook Research, FAIR Montreal, Aug.-Dec. 2018
Education
  • University of Edinburgh, PhD in Operational Research and Optimization, 2015 - 2019
  • Imperial College London, MSc in Computing, 2014-2015
  • National and Kapodistrian University of Athens, BSc Mathematics, 2010- 2014