Léa Cassé

I am Léa Cassé, a PhD candidate in a joint programme between the University of Waikato and École Polytechnique / Institut Polytechnique de Paris. My research focuses on Quantum Machine Learning for data streams, particularly the theory and practical design of Quantum Re-Uploading Units (QRUs) for time-series forecasting and downstream decision problems.

Alongside my PhD, I work as a freelance AI/ML consultant on governed machine-learning systems, semantic data contracts, forecasting evaluation, provenance, explainability, and human-in-the-loop review.