I am an 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. I am also affiliated with the JHU Machine Learning Group and the Ralph O’Connor Sustainable Energy Institute (ROSEI).

My research interests include large-scale optimization, machine learning, randomized numerical linear algebra, distributed and decentralized algorithms, game theory, and deep learning. My 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, I was an IVADO postdoctoral fellow at Mila - Quebec Artificial Intelligence Institute and DIRO, UdeM, where I worked closely with Simon Lacoste-Julien and Ioannis Mitliagkas. I obtained my PhD from The University of Edinburgh, School of Mathematics in 2019, under the supervision of Peter Richtarik. Before that, I spent 4 beautiful 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 I obtained an MSc in Computing. During the fall of 2018, I was a research intern at Facebook AI Research in Montreal, Canada.

For more details please feel free to look my CV (updated August 2023).

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Credits for website's template : Peter Richtarik