About me

I am a PhD student in computer science working on stochastic approximation theory and its applications to learning algorithms at Université Grenoble Alpes, team GHOST. During this journey, I am fortunate to be supervised by Nicolas Gast and Dorian Baudry.

Prior to this, I worked as a research assistant at the Modern Compilers Lab at NYUAD under supervision of Riyadh Baghdadi. I worked on applied reinforcement learning in compilers to accelerate execution time of scientific code. I hold a Master degree in computer science from ENSIMAG-UGA and an engineering degree in computer science from ESI.

Main research areas of interest:

• Stochastic Approximation
• Convex/Non-Convex Optimizaiton
• Reinforcement Learning

I am also curious to read and discuss about dynamical systems, geometry and learning theory.