Portrait of Lucas Mattioli

Lucas Mattioli

PhD Candidate — Trustworthy AI • Foundation Models • Vision under constrained data

About

I am a PhD candidate co‑supervised by Stéphane Herbin (ONERA) and Faouzi Adjed (IRT SystemX). My research focuses on making multimodal foundation models (especially Vision–Language Models) reliable under tight data constraints through PEFT (LoRA/adapters), prompt learning, in‑context learning, and distillation.

Trustworthy AI Foundation Models Computer Vision PEFT / LoRA Prompt Learning

Thesis

Thesis illustration

Ensuring Frugal Adaptation of Foundation Models for Computer Vision Tasks

  • Robust PEFT strategies under distribution shifts
  • Minimal‑data adaptation with in‑context learning
  • Trust metrics: calibration, completeness, timeliness

Publications

News

    Contact

    Paris, France

    mattioli.lucas@gmail.com

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