Personal Update :
In January 2022, I will be joining the Whiting School of Engineering at The Johns Hopkins University as 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!!!

About Me

I am an IVADO postdoctoral fellow at Mila - Quebec Artificial Intelligence Institute and DIRO, UdeM. I work closely with Dr. Simon Lacoste-Julien and Dr. Ioannis Mitliagkas. My current research focuses on the theory and applications of convex and non-convex optimization in large-scale machine learning and data science problems.

I obtained my PhD from The University of Edinburgh, School of Mathematics. More specifically I was a member of the Operational Research and Optimization Group (ERGO) under the supervision of Dr. Peter Richtarik. Prior to 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 (Computational Management Science).

During fall of 2018, I was a research intern at Facebook AI Research in Montreal, Canada. I was working mainly with Dr. Mike Rabbat on topics related to Distributed Non-Convex Optimization Algorithms and Deep Learning.

My research interests include (but are not limited to):
Large Scale Optimization, Machine Learning, Randomized numerical linear algebra, Convex Analysis, Randomized and Distributed Algorithms.

For more details please feel free to look my CV (updated September 2020).

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