OptiFlight
ML and optimisation algorithms for aircraft fuel consumption reduction across all flight phases — now deployed on thousands of aircraft worldwide.
These are the main data science and AI projects I led or contributed to at SCAI (2023–present), LumenAI (2020-2022) and Safety line (2015-2020).
ML and optimisation algorithms for aircraft fuel consumption reduction across all flight phases — now deployed on thousands of aircraft worldwide.
Each project is a collaboration between SCAI’s data science team and one or more research labs from Sorbonne University and its partners.
Computer vision applied to art history — digitising and analysing the complete works of Eugène Delacroix.
Computer vision for large-scale animal detection to monitor soil erosion and land degradation in Senegal and the Gobi Desert.
Graph machine learning and molecular networking to annotate unknown molecules from LC-MS/MS spectra in metabolomics.
An LLM-based system for mapping and surfacing expertise across Sorbonne University using retrieval-augmented generation.
Online graph clustering for detecting suspicious activities in computing systems — applied to the DARPA OpTC dataset, funded by the DGA Cyberdefence Factory.