CV

Education

• Ph.D. student, IMT Atlantique, 2024-2027
  • Research on diffusion models for text generation
  • Supervisors: Vincent Gripon, Bastien Pasdeloup, Axel Marmoret
• Engineering degree, IMT Atlantique, 2021-2024
  • Mathematical and Computational Engineering specialization
  • Machine Learning, Deep Learning, Computer Vision, Signal Processing, Optimization
• M.Sc. Engineering Sciences and Applications, University of Rennes 1, 2023-2024
  • Signal and image processing major
• Academic exchange, University of Technology Sydney, 2023

Work experience

• November 2024; May 2025 - June 2025: Visiting Scientist
  • Sony Europe, Stuttgart, Germany
  • Research on discrete diffusion models for text generation
• April 2024 - October 2024: Research Intern
  • Criteo AI Lab, Paris, France
  • Studied diffusion models, trained large diffusion models for image background generation
  • Supervisor: Jaspreet Sandhu, Thibaut Issenhuth, Ludovic Dos Santos
• Summer 2023: Research Intern
  • BRAIn team, IMT Atlantique, Brest, France
  • Studied parameter-efficient fine-tuning methods for SAM and attention-based data augmentation techniques
  • Supervisor: Bastien Pasdeloup
• February 2022: Developer Intern
  • French Polynesia’s government IT Department, Papeete, French Polynesia
  • Development of a Web application for network management, automation of database migrations

Skills

• Computer Science
  • Python, SQL, Java, R, Julia, C++, Matlab, Jupyter
• Machine Learning
  • Numpy, Pandas, sklearn, statistical and probabilistic models
• Deep Learning
  • PyTorch, Tensorflow, Keras, CNNs and Transformers training
• Hugging Face 🤗
  • transformers, diffusers, tokenizers, datasets, accelerate
• Distributed operations
  • Hadoop, Spark, multi-gpu/multi-node training (PyTorch distributed, Accelerate, NCCL), SLURM
• Soft Skills
  • Agile methods, communication, applied research
• Languages
  • English (C1, IELTS 7.5), Chinese (B2.1, HSK3 equivalent, intensive summer study at Beijing Language and Culture University), basic Spanish

Publications

Key Ingredients for EEG Foundation Models: What Works - and What Doesn’t

Lioi, et al. (2026). "Key Ingredients for EEG Foundation Models: What Works - and What Doesn't." In 2026 34th European Signal Processing Conference (EUSIPCO). IEEE.

How Transferable Are EEG Foundation Models? A Case Study on Sleep Staging

Lamouroux, et al. (2026). "How Transferable Are EEG Foundation Models? A Case Study on Sleep Staging." In 2026 34th European Signal Processing Conference (EUSIPCO). IEEE.

D5P4: Partition Determinantal Point Process for Diversity in Parallel Discrete Diffusion Decoding

Lys, et al. (2026). "D5P4: Partition Determinantal Point Process for Diversity in Parallel Discrete Diffusion Decoding." arXiv preprint arXiv:2603.19146.

Residual Connections and the Causal Shift: Uncovering a Structural Misalignment in Transformers

Lys, et al. (2026). "Residual Connections and the Causal Shift: Uncovering a Structural Misalignment in Transformers." In 2026 34th European Signal Processing Conference (EUSIPCO). IEEE.

Inner Loop Inference for Pretrained Transformers: Unlocking Latent Capabilities Without Training

Lys, et al. (2026). "Inner Loop Inference for Pretrained Transformers: Unlocking Latent Capabilities Without Training." In 2026 34th European Signal Processing Conference (EUSIPCO). IEEE.

TENSLORA: Tensor Alternatives for Low-Rank Adaptation

Marmoret, et al. (2025). "TensLoRA: Tensor Alternatives for Low-Rank Adaptation." In 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE.

REVE: A Foundation Model for EEG – Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects

El Ouahidi, et al. (2025). "REVE: A Foundation Model for EEG Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects." In Advances in Neural Information Processing Systems (NeurIPS 2025).

FICUS: Few-shot Image Classification with Unsupervised Segmentation

Lys, et al. (2024). "FICUS: Few-shot Image Classification with Unsupervised Segmentation." In 2024 32nd European Signal Processing Conference (EUSIPCO)(pp. 1791-1795). IEEE.

Map

Map of places I visited for work: conferences, visits, internships, summer schools...