Laura Martel
Generative AI for nuclear and materials R&D
I help research teams and industrial labs cut weeks off literature reviews, technical reporting, and legacy-data work — with tools built by someone who has done the science herself. PhD in materials chemistry, former research scientist at the European Commission's JRC.
What I do for R&D organizations
AI Opportunity Audit for Industrial R&D
A short, structured assessment of your team's workflows — literature review, reporting, experimental data handling, legacy archives — that identifies where generative AI saves real hours, and delivers a prioritized roadmap with effort and risk estimates.
Discuss this →Custom AI Workflow Development
Design and delivery of AI assistants and agentic pipelines tailored to your scientific work: document analysis, report drafting, extraction from decades of legacy records. Built with confidentiality constraints in mind, including EU-hosted or on-premise models.
Discuss this →AI Training for Scientific Teams
Hands-on workshops that get researchers and engineers productive with AI tools in days: writing effective prompts for technical work, checking model output against domain knowledge, and knowing when a model should be trusted — and when it shouldn't.
Discuss this →Why teams in this sector talk to me
PhD in materials chemistry (Université d'Orléans) — I've run the experiments, written the papers, and lived the workflows I now automate.
Research scientist at the European Commission's Joint Research Centre (Karlsruhe), working on nuclear materials in one of Europe's most regulated research environments.
Peer-reviewed publications in materials chemistry and nuclear science — see them on Google Scholar.
AI R&D engineer at imki (Strasbourg), building generative-AI products in production — including work on the European PERCEIVE research project.
How I work
Start small. Every engagement begins with a scoped assessment, so you know the value before committing to a build.
Your data stays yours. I work with EU-hosted and self-hosted models where confidentiality requires it, and put data-handling rules in writing.
Scientists in the loop. I build tools your researchers can verify, challenge, and correct — because in this sector, an unverifiable answer is a useless answer.
Professional Background
From the lab bench at the JRC to production AI systems in industry.
- AI R&D Engineer – imki (Strasbourg, France)
- Research Scientist – European Commission JRC (Karlsruhe, Germany)
- PhD in Material Chemistry – Université d'Orléans, France
Beyond client work, I co-organize Stras-IA, a series of AI events in Strasbourg.
Let's talk about your R&D workflows
A short message about your R&D workflows is enough to find out whether AI can save your team real time — and where to start. Reach me on LinkedIn, or reveal my email address below. No slides, no obligation.