Djamel Rassem Lamouri

I am a second year PhD student in computer science at Université Grenoble Alpes. I work on Stochastic Approximation theory and its connection to Machine Learning. During this journey, I am fortunate to be supervised by Nicolas Gast and Dorian Baudry and to being part of the Ghost team.
Prior to that, I worked as a research assistant at New York Univeristy Abu Dhabi under supervisions of Riyadh Baghdadi on "code acceleration in compilers" using machine learning. I hold a MSc degree in computer science from UGAxEnsimag and an engineering degree from ESI-Algiers.

Main areas of research: Stochastic Approximation, Reinforcement Learning, Stochastic Optimization.