Florian P.

At Toovalu, I led R&D projects around measuring the climate risks of organizations. I designed AI/data approaches combining machine learning, generative AI, RAG, recommendation models, handling of missing values, and exploitation of sometimes unconventional climate/ESG data. My role covered consulting framework, project management, modeling, structuring complex data, and producing indicators and decision-support tools usable by business teams.

Master's end-of-study internship in R&D focused on predictive modeling of financial assets. I contributed to the design of investment algorithms applied to multi-asset portfolios, with a long-only strategy. My work combined quantitative analysis, financial data processing, backtesting, and model development aimed at improving asset selection and investment decision support.

Internship in a research laboratory, which I later integrated as part of my doctoral project. I participated in literature reviews, state-of-the-art analyses, structuring of scientific problems, and drafting of articles, with a rigorous approach to analysis, bibliographic synthesis, and scientific production.