Bio

I am an AI Research Scientist specialising in deep learning for time series and temporal data. My research explores advanced neural architectures designed to capture complex temporal dependencies, with applications ranging from time series forecasting to representation learning.

Research Interests

Time series & spatio-temporal modeling Foundation models for time series Large-scale pretraining & inference adaptation Representation & self-supervised learning Imputation & forecasting Scientific & industrial AI applications

PhD Thesis

Sorbonne University · Deep Learning

Learning Neural Representations for Time Series

Manuscript ↗ Defense slides ↗

Publications & Talks

◈ Research Papers, preprints & manuscript → ◎ Talks Presentations & invited lectures →

Contact

Always open to discussions about research and collaboration — feel free to get in touch.