// PEOPLE · PROJECTS · CONTEXT
Press kit.
A little context, in one place. Bios, a portrait, and selected work for articles, events, and introductions.
01 / BIOGRAPHIES
The person behind the projects.
Short bio
François Amat is an engineer and researcher with a PhD in Explainable AI from Institut Polytechnique de Paris. His work connects interpretable AI, full-stack engineering and practical product development.
Long bio
François Amat is an engineer and researcher with a PhD in Explainable AI from Institut Polytechnique de Paris. His doctoral research explores patterns and interpretable rules in relational data, including the MATILDA and MAHILDA systems. He has worked as a CTO on AI governance at Suzan and carbon analytics at Fingreen. His engineering practice spans data, backend systems and user interfaces, with an emphasis on transparency, traceability and real-world workflows. Alongside his research and engineering work, he develops open-source tools and independent experiments that turn technical ideas into useful products.
02 / PORTRAIT
François, in pixels.
03 / FOCUS
Things I work on.
- Explainable AI & rule mining
- AI governance & auditable systems
- Full-stack product engineering
- Research into practical tools
04 / SELECTED WORK
A few points of reference.
05 / CONTACT
Need anything else?
For an interview, an event, or more context on a project, get in touch.