CV
Basics
| Name | Pierre Joly |
| pierre.joly2001@gmail.com | |
| Summary | Graduate of ÉcoleCentrale de Lyon (Sept2025) with deep learning research experience and a strong background in mathematics, seeking a PhD position in AI4Science. |
Work
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2025.04 - 2025.09 Research Internship - Concept Removal in Image AutoRegressive Models
CISPA Helmholtz Center for Information Security
Research internship at the SprintML Lab (Secure, Private, Robust, INterpretable and Trustworthy Machine Learning) supervised by Dr. Boenisch and Dr. Dziedzic.
- Investigated and prototyped novel methods to control and remove targeted semantic concepts in AutoRegressive Image Models.
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2023.05 - 2023.10 Research Internship – Robustness & Uncertainty in Object Detection
CEA (French Alternative Energies and Atomic Energy Commission)
Research internship at the AIC Chair (Artificial Intelligence and Complexity) in CEA List, supervised by Dr. Tamaazousti.
- Researched and developed two novel methods for certifiable robustness and uncertainty quantification in object detection tasks, utilizing YOLOv3 and YOLOv8 algorithms.
- Co-authored two patents: EP4575900 and EP4592898.
Volunteer
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2022.04 - 2023.04 IT Manager
Challenge Centrale Lyon
Part of a team of 19 students organizing a student sports competition for over 3,000 participants.
- Designed and developed the entire event website independently.
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2022.01 - 2023.01 Treasurer of the External Relations Section
AEECL - Association des Élèves de l'Ecole Centrale de Lyon
Managed the budget and financial operations of the External Relations Section for a one-year term.
- Managed a budget of €50k.
- Collaborated with other board members to ensure the successful organization and execution of events and initiatives.
Education
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2021.09 - 2025.09 Lyon, France
Master of Science (Grande École Program)
École Centrale de Lyon
General Engineering, Mathematics Specialization
- Sparsity & High-Dimensional Data
- Convex Optimization
- Bayesian Statistics
- Functional Analysis (PDEs)
- Stochastic Differential Equations
- Machine Learning
- Quantum Information
- Multiphysics Simulation
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2019.09 - 2021.07 Toulouse, France
Preparatory Program
Lycée Déodat de Séverac
Mathematics and Physics (Classes Préparatoires PCSI–PSI*)
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2016.09 - 2019.07 France
Certificates
| Fundamentals of Reinforcement Learning | ||
| University of Alberta | 2023-12-01 |
| Deep Learning Specialization | ||
| DeepLearning.AI | 2023-11-01 |
| TOEFL ITP (607/677) | ||
| ETS EMEA | 2023-04-01 |
| PSC1 - First Aid and Civic Rescue Training | ||
| Ministère de la Santé | 2022-11-01 |
| Brevet de base de pilote d'avion | ||
| FFA – Fédération Française Aéronautique | 2018-07-01 |
| Brevet d'Initiation Aéronautique | ||
| Education nationale | 2017-01-01 |
Skills
| Machine Learning | |
| Deep Learning | |
| Reinforcement Learning | |
| Bayesian Inference | |
| Gaussian Processes | |
| Variational Inference |
| Mathematics | |
| Optimization | |
| Statistics | |
| Functional Analysis | |
| Stochastic Processes | |
| PDEs | |
| Linear Algebra |
| Programming | |
| Python | |
| C++ | |
| Swift | |
| Bash | |
| SQL | |
| PyTorch | |
| JAX |
| HPC & Simulation | |
| Metal GPU Programming | |
| Slurm HPC Scheduler | |
| Numerical Simulation |
Languages
| French | |
| Native |
| English | |
| Fluent (TOEFL ITP 607/677) |
| Spanish | |
| Beginner |
| Chinese | |
| Beginner |
Interests
| AI for Science | |
| Generative Models | |
| Bayesian Inference | |
| Physics Simulations | |
| Scientific Machine Learning |
Projects
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Deep Kernel Learning Variational Inference
Co-authored a mathematical report on scalable Bayesian inference with Gaussian processes, combining theoretical insights and code illustrations, focusing on variational inference and dimensionality reduction via Deep Kernel Learning.
- Implemented exact and variational GP inference
- Integrated neural networks for kernel learning
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SPH Fluid Simulation in Metal
Developed a Smooth Particle Hydrodynamics (SPH) fluid simulation using Apple's Metal GPU framework to demonstrate fundamentals of SPH numerical simulation.
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Challenge Centrale Lyon Website Development
Developed the event website for a student sports competition with over 3,000 participants.