About
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Hi, I'm Noé. I link text to places on Earth.

AI Research Engineer

About
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Portrait of Noé Flandre

I am an AI Research Engineer at Inria. I focus on LLM-based geoparsing to link unstructured text to geographic footprints.

I am building side projects, which you can find on my GitHub, and conducting research.

I am looking for opportunities to gain expertise in AI while contributing to its development in an open, thoughtful and responsible way.

Feel free to reach out!

CV
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Papers, experience, education and more.

CV
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Publications06

  1. 2026 · Hawaii International Conference on System Sciences

    Beyond Runtime Evaluation: Dynamic Benchmark Generation for Design-Time Verification of Agentic AI Workflows

    Noe Y. Flandre, Philippe J. Giabbanelli

    Accepted for HICSS-60. It will be presented during the conference (5–8 January 2027).

  2. 2026 · Hawaii International Conference on System Sciences

    A Three-Arm Trial to Evaluate the Impact of Training in Prompt Engineering on Learning Outcomes Among Engineering Students

    Noe Y. Flandre, Philippe J. Giabbanelli

    Accepted for HICSS-60. It will be presented during the conference (5–8 January 2027).

  3. 2026 · WSC 2026

    Composing Verifiable Conceptual Models via Building Blocks: Towards Design-Time Verification of Agentic AI Workflows

    Noe Y. Flandre, Alexander Nwala, Philippe J. Giabbanelli

  4. 2026 · Big Data and Cognitive Computing

    Distilling the Complexity of Agent-Based Simulations Into Textual Explanations via Large Language Models

    Noe Y. Flandre, Philippe J. Giabbanelli

  5. 2025 · Journal of Simulation

    Promoting empathy in decision-making by turning agent-based models into stories using large-language models

    Daumas C., Philippe J. Giabbanelli, Noe Y. Flandre

    Selected as the Editor's Pick

  6. 2024 · ER 2024 (EmpER'24)

    Can large language models learn conceptual modeling by looking at slide decks and pass graduate examinations? an empirical study

    Noe Y. Flandre, Philippe J. Giabbanelli

Experience →

Experience08

  1. Apr 2026 — Present · Montpellier, France

    AI Research Engineer — Inria

    Conducting research on LLM-based geoparsing to link unstructured text to geographic locations and footprints.

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    Working on the GEO-ReSeT project. Supervisors: Diego Marcos, Roberto Interdonato. Team: EVERGREEN (Earth obserVation and machine lEarning foR aGRo-Environmental challENges).
  2. Dec 2025 — Apr 2026 · India

    Independent Researcher

    Agentic AI workflows and LLM applications.

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    Following graduation, I pursued independent research focusing on agentic AI workflows and the application of LLMs to both agent-based models and conceptual modeling (example project).
  3. Jun 2025 — Nov 2025 · Toulouse, France

    AI Engineer Intern — Airbus Defence and Space

    Fine-tuning of Vision-Language Models on Satellite Images.

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    Under the supervision of Fahd Benatia, I conducted research on the underlying AI model of Airbus Geo Explore. I conducted a literature review of state-of-the-art fine-tuning techniques for VLMs in remote sensing, I built a benchmark suite to compare models and training strategies, and implemented end-to-end fine-tuning pipelines on Google Cloud Platform.
  4. Aug 2024 · Suffolk, VA, USA

    Research Intern (LLMs & Simulation) — VMASC

    Applied LLMs to simulation and decision-making.

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    Advised by Philippe J. Giabbanelli, my research focused on making complex Agent-Based Models interpretable for non-technical decision-makers. I built an end-to-end framework that parses NetLogo simulation metrics, leverages advanced prompt engineering with GPT-4o and Claude 3.5 Sonnet to analyze data trends, and condenses the text using both extractive and abstractive summarization. The resulting explanations were validated through comprehensive automated scoring and structured human evaluations.
  5. May 2024 — Jul 2024 · Oxford, OH, USA

    Research Intern (LLMs) — Miami University

    LLMs for conceptual modeling and multimodal evaluation.

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    I investigated how LLMs can be integrated with simulation and conceptual modeling. Philippe Giabbanelli was my supervisor. My contributions included testing LLMs on multimodal graduate-level exams using both text and slide decks, applying a Design of Experiments methodology to merge complex causal maps using LLMs, and utilizing advanced prompt engineering and style transfer to translate agent-based models into empathetic stories.
  6. Jan 2024 — May 2024 · Alès, France

    AI Research Engineer Intern — EuroMov

    Generative AI applied to artistic movement analysis.

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    Supervised by Gérard Dray, my research stood at the intersection of AI and art by generating digital artwork from human movement data. I processed raw sensor spreadsheets from an artist's movements and used a remote GPU container to run StableDiffusion with ControlNet and specialized models. I developed an iterative workflow that combined image generation with MATLAB scripts for depth-based image composition, accepting uncertainty to create novel visual compositions and study the expressive potential of diffusion models.
  7. Nov 2023 — Dec 2023 · Thuir, France

    Data Analyst Intern — Centre Hospitalier de Thuir

    BI dashboards to modernize hospital data reporting.

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    I modernized hospital data reporting under the supervision of Clément Naudy, by replacing manual export processes with real-time QlikView dashboards connected to administrative and medical ERPs. I wrote SQL queries and QlikView load scripts to extract, transform, and model hospital data, building dashboards to track key indicators such as medical activity or absenteeism. Finally, I authored technical documentation to ensure project sustainability.
  8. May 2023 — Jun 2023 · Alès, France

    Market Analyst Intern — Haï Mask

    Market study for a connected sports mask project.

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    Supervised by Maxime Menardo, I conducted a 5-week market study that included a PESTEL analysis, competitive mapping, and target audience profiling. I surveyed 22 high-level athletes to validate product features and test price sensitivity, ultimately building a 4P marketing plan, a CRM strategy, and a go-to-market action plan. I also designed a multi-platform communication strategy with promotional content mockups and analyzed pro sports club budgets to identify B2B prospects.

← PublicationsEducation →

Education02

  1. 2022 — 2025 · Alès, France

    IMT Mines Alès — MEng (Computer Science / AI)

    Class representative.

    Coursework
    AI & Machine Learning
    Advanced Machine Learning, Deep Learning, Symbolic AI, Heuristic Optimization, Multi-Criteria Decision Analysis, Mathematics for Machine Learning, Uncertainty Theory
    Statistics & Mathematics
    Advanced Statistics & Probability, Probabilities, Statistics, Calculus & Numerical Analysis
    Software Engineering & CS
    Software Design, Algorithm Complexity & Recursion, C Programming, Algorithms & Programming, Formal Specification, Web Technologies, Computer Networks, Databases
    Data & Analytics
    Data Collection, Validation, Visualization & Reporting, Signal Processing, Finite Elements, Operational Research
    Engineering Sciences
    Mechanics of Continuous Media, Strength of Materials, Thermodynamics, Fluid Mechanics, Electrical Energy
    Business & Management
    Project Management, Business Model, Market Research & Marketing, Macroeconomics, Finance, Business Law, Business Management, Engineering Ethics, Competitive Intelligence
  2. Jan 2025 — May 2025 · Mumbai, India

    IIT Bombay — Exchange Semester

    Human-Centered AI — Prof. Arpit Agarwal
    Advanced Image Processing — Prof. Ajit Rajwade
    Medical Image Processing — Prof. Suyash P. Awate

← ExperienceProjects →

Projects03

  1. Dec 2025

    NanoCLIP: Lightweight Vision-Language Model

    Implemented and trained a CLIP architecture from scratch (PyTorch).

  2. Apr 2025

    DeepSeek Models — Jailbreak Robustness Evaluation

    Engineered local/API-based jailbreaks, assessment with Claude API.

  3. Mar 2025

    GPT-2 Training From Scratch (2xH100, PyTorch DDP)

    Trained a virgin GPT-2 model on FineWeb-Edu 10B evaluated on HellaSwag.

← EducationAwards →

Awards03

  1. Mar 2024 · Palaiseau, France

    Ariane Group Hackathon (Third Prize)

    Optimized Ariane 6 boosters delivery planning (CO2 emissions, time, and cost). Developed a web app with Streamlit and Flask, and managed booster logistics data with MongoDB.

  2. Oct 2023 · Montpellier, France

    Altemed Hackathon (First Prize)

    Developed a real-time supervision dashboard and map, using Power BI to visualize data for predictive maintenance of housing equipment.

  3. Feb 2023 · Paris, France

    Best Speaker — French Debating Association

    Best Speaker Award: English debate between IMT Mines Alès and IESEG.

← ProjectsVolunteering →

Volunteering01

  1. 2022 — 2023 · Omuangete (near Opuwo), Namibia

    Classroom Construction Project Management — Tsiky Zanaka

    Helped organizing and building a 11,500 euros project, collected funds throughout the year, and contributed to a six-week on-site mission (June 30 to August 9, 2023) with student volunteers.

← AwardsRecommendations →

Recommendations03

“I was Noe's sole supervisor during his two summer internships in 2024. He did a truly impressive amount of work and he was able to quickly learn the ropes of being a researcher in an international center. I am confident that several publications at reputable venues will eventually arise from his commendable efforts.”
Philippe Giabbanelli (Full) Research Professor, VMASC, Old Dominion University Direct supervisor during two summer internships · August 12, 2024

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← Volunteering

Blog
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Notes from the lab.

Blog
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Contact
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Feel free to reach out.

Contact
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I am looking for my next opportunity, ideally a PhD in AI, and I am open to Research Engineer roles too.