Nidham Gazagnadou - Home

Photograph in a suit 

I am a first-year PhD student in the Image, Data, Signal department at Télécom ParisTech in France. I work on stochastic variance-reduced gradient methods under the supervision of Robert M. Gower and Joseph Salmon.

My PhD aims at developing scalable optimization methods for solving the empirical risk minimization problem, particularly used in training machine learning algorithms (more info here). My topics of research are Machine Learning and Optimization.

I am also contributing to the Julia suite of stochastic optimization codes StochOpt.


Email: nidham [dot] gazagnadou AT telecom-paristech [dot] fr



Office: B 412
Télécom ParisTech
46 Rue Barrault,
75013 Paris, France


  • Apr. 2019 - Accepted conference paper at ICML 2019

  • Oct. 2018 - Started my PhD at Télécom ParisTech