Nicolas Loizou


Postdoctoral Researcher
Montreal Institute for Learning Algorithms (MILA)

Contact info:
C.07, MILA Office,
6666 Rue Saint-Urbain,
Montreal (QC) Canada, H2S 3H1

About Me

I am a postdoctoral fellow at Montreal Institute for Learning Algorithms (MILA) hosted by Simon Lacoste-Julien and 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.




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