cv
Basics
| Name | Waïss Azizian |
| Label | PhD student |
| waiss.azizian@univ-grenoble-alpes.fr | |
| Url | https://wazizian.fr |
| Summary | Research focus: optimization for deep learning, reliable ML. |
Research Experience
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2022.03 - Present Grenoble, France
PhD
Laboratoire Jean Kuntzmann
Supervisors: F. Iutzeler, J. Malick, P. Mertikopoulos
• Developed and analyzed distributionally robust optimization methods
• Established large deviation estimates for the global convergence of neural network training
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2025.08 - 2025.10 New York, USA
PhD Internship
Morgan Stanley Machine Learning Research
Supervisor: Ali Hasan
• Investigated the in-context-learning capabilities of Large Language Models
• Contributed to internal option pricing algorithms
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2025.02 - 2025.05 Paris, France
PhD Internship
Apple Machine Learning Research
Supervisor: Marco Cuturi
• Evaluated the robustness of uncertainty quantification methods for Large Language Models
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2021.11 - 2022.02 Paris, France
Research Internship
INRIA
Supervisor: Marc Lelarge
• Developed online parameter estimation methods in state-space models
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2019.03 - 2019.07 Montréal, Canada
Research Internship
Mila
Supervisor: Simon Lacoste-Julien
• Analyzed and improved game optimization methods for machine learning
Education
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2020.09 - 2021.06 Saclay, France
Master
École Normale Supérieure Paris-Saclay
Master in Machine Learning "Mathematics, Vision, Learning" (MVA)
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2018.09 - 2020.06 Paris, France
Master
École Normale Supérieure de Paris
First year of Master (M.Sc.) in both Mathematics and Computer Science
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2017.09 - 2018.06 Paris, France
Bachelor
École Normale Supérieure de Paris
Licences (B.Sc.) in both Mathematics and Computer Science
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2015.09 - 2017.07 Paris, France
Preparatory Classes
Lycée Louis-le-Grand
Preparatory Classes for Grandes Écoles (CPGE) in Mathematics and Physics
Skills
| Deep Learning Frameworks | |
| PyTorch | |
| JAX/Flax | |
| vLLM |
| Research Tools | |
| Git | |
| Hydra | |
| Docker | |
| Singularity |
| High-Performance Computing | |
| Linux | |
| SLURM | |
| OAR | |
| CUDA | |
| GPU scheduling | |
| cluster infrastructure |
| Mathematical Expertise | |
| Probability | |
| statistics | |
| optimization | |
| stochastic calculus | |
| large deviations |
Academic Activities
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Teaching Assistant
Université Grenoble Alpes
Numerical Optimization (1st year MSc.), Statistics for Biology (2nd year BSc.)
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Research Supervisor
Mentoring
Mentored junior PhD students on research projects in robust optimization and large deviations
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Reviewer
Academic Service
Reviewer for NeurIPS, ICML, ICLR, Mathematical Programming, SIAM J. Optimization