About
Most organisations know they need to do something about AI. Very few know where to start, and even fewer know what the EU AI Act actually requires of them. That is the gap I fill.
I am an AI trainer and transition manager for organisations of every kind, from public bodies, law firms and financial institutions to any team that wants AI they can actually trust and use compliantly. I start by training teams to get the most out of AI tools they already have, with full compliance built in. For teams that need more, I step in as their fractional AI officer or lead the full transition directly. With 12 years of teaching, 50+ courses, a PhD in AI, 18 years of research, more than 600,000 euros in research grants, and production deployments at regulated institutions, I bring depth that most trainers and most consultants do not have separately, let alone together.
Why It Stays Current
I do not learn about new AI from blog posts. As a peer reviewer for leading international AI conferences and journals, an evaluator for EU Horizon and Marie Sklodowska-Curie Actions funding calls, and an examiner of PhD theses, I see the research before it is published, and I judge where Europe is putting its most serious research funding. I am also active in AI research and practitioner communities, and I lead an AI company that ships production systems today. Few people combine seeing tomorrow's research, judging where the money is going, and building real products this week. That is what I bring to every engagement.
Now
AI Trainer
2016 - present
American University of Paris (2016–2024) · Digital Learning Hub, House of Training, and public and private organisations, Luxembourg (2025–present)
- Tenured professor at the American University of Paris (2016–2024): designed and launched the university's first Data Science programme, modelled on UC Berkeley; taught 40+ courses across computer science, mathematics, statistics, and AI ethics
- Since 2025: AI literacy and adoption programmes for professional and public-sector teams, built around transparency, traceability and human oversight — satisfying EU AI Act Article 4 with documented outcomes
- Formats from half-day to full-day; governance modules for managers and legal referents
- 9.13 / 10 overall satisfaction rate · 4.0 / 4 trainer rating
AI Transition Manager and Fractional AI Officer
2025 - present
Independent, Luxembourg and beyond
- For teams that need ongoing expert guidance: fractional AI officer, adapting to the organisation's pace and needs
- For teams requiring full transformation support: direct transition management, typically one to two months, to solve a defined AI problem end to end
- Both models leave your team able to operate independently and in full compliance
Co-founder and CEO
2023 - present
Enidia AI, Luxembourg
- Verification-first, on-premise AI for regulated industries; GDPR and EU AI Act by design
- Clients include a top-10 international law firm
- Production document review cut from about 25 hours to about 4
Research and Academia
Assistant Professor (Tenured)
2016 - 2024
The American University of Paris, France
- Designed and launched the university's first Data Science programme, modelled on UC Berkeley
- Taught 40+ courses across computer science, mathematics, statistics, and AI ethics
Principal Investigator
2020 - 2025
University of Luxembourg, Luxembourg
- Principal investigator of more than 600,000 euros in public funding, including an FNR CORE grant
- Led the access-to-justice line: AI that helps lay users navigate the law. Patent law assistant demo
Postdoctoral Researcher
2012 - 2016
Microsoft Research and Inria Joint Centre, Paris
- Software verification and proof assistants, in the teams of Leslie Lamport and Dale Miller
Earlier Industry
Programming Team Lead
2001 - 2006
Quigo Technologies, New York, USA
- R and D lead at an AI-driven advertising startup; the company was acquired by AOL for about 360 million dollars
Education
Ph.D., Computer Science
2008 - 2012
Technical University of Vienna, Austria
M.Sc., Computer Science
2006 - 2008
Technical University of Vienna, Austria
B.Sc., Mathematics and Computer Science
1998 - 2001
Hebrew University of Jerusalem, Israel
Standing
33 international refereed conference papers and 3 journal papers. 402 citations, h-index 12. Reviewer for international journals and for Horizon and Marie Sklodowska-Curie Actions, with a best-paper award among co-authored work. Creator of the open-source GAPT proof system.
Facts
Some milestones and numbers.
Peer-reviewed papers
Research citations
Public funding led (in €1,000)
Courses taught
Average learner rating (out of 10)
How I Help
The AI Act is not optional. Article 4 requires demonstrable AI literacy from every organisation using AI. Transparency, human oversight, and traceability are hard obligations, not aspirations. I solve all of them.
AI Literacy and Training
I design and deliver AI literacy programmes that satisfy Article 4 of the EU AI Act with documented, measurable outcomes. Every programme is built around the four obligations: literacy, transparency, human oversight, and traceability, using the AI tools your team already has. No prior AI background needed. 93% overall satisfaction rate. 4.0 / 4 trainer rating.
AI Transition Management
For organisations that need direct, hands-on leadership of their AI transformation. I step in for a defined period, typically one to two months, assess what AI should do for you, build the first compliant, human-supervised pipelines with your team, and leave them fully operational and AI Act-compliant. Two ways to agree the fee: fixed price, or fixed costs plus a share of the savings I generate.
Fractional AI Officer
For organisations that need ongoing expert presence without a full-time hire. I act as your fractional AI officer, adapting to your pace and your needs, keeping your AI use compliant as the Act evolves, and bridging the gap between your team's capability and what the regulation requires. Available after a training engagement or independently.
Research and funded projects
As principal investigator I have led more than 600,000 euros of public research funding, including an FNR CORE grant, Luxembourg's most competitive instrument. My access-to-justice work built AI that helps the public navigate the law, including a patent law assistant.
Academic standing
Peer reviewer for leading international AI conferences and journals, evaluator for EU Horizon and Marie Sklodowska-Curie Actions, and PhD thesis examiner. I see new AI research before it reaches the public. My own record: 33 refereed conference papers, 3 journal papers, 402 citations, h-index 12, best-paper award.
How I Work
Every engagement starts with training. Depending on what your organisation needs next, it continues in one of two directions.
Training: your team learns to maximise AI, compliantly
I train your teams to get the most out of the AI tools they already have, starting with the standard chatbots available in your environment (Mistral Le Chat, Copilot, or similar). Every session is built around full GDPR compliance and the four obligations of the EU AI Act: literacy, transparency, human oversight, and traceability. By the end, your team does not just use AI; they use it responsibly, and you have documented proof of compliance with Article 4.
Fractional AI Officer: ongoing expert presence
For teams that need continuous, adaptive support after the training. I act as your fractional AI officer, available according to your pace and your needs, keeping your AI use current and compliant as your operations evolve and as the regulatory environment develops. No full-time hire needed.
Transition Management: direct leadership of the transformation
For teams that need someone to step in and lead the change end to end. I come in for a defined period, typically one to two months, take direct responsibility for the AI transition, build the first compliant pipelines with your team, and hand over a fully operational, AI Act-compliant setup. Two fee options: fixed price, or fixed costs plus a share of the savings I generate.
In Action
A customer complaint — one example from thousands across every industry. The same approach applies to contract queries, procurement checks, HR policy questions, research briefings, and any task where an answer must be accurate and traceable before it leaves the building.
"Hello, I cancelled my subscription on March 14th and received a cancellation confirmation. Despite this, I was charged again on April 1st. I have been a customer for three years and I expect this to be refunded immediately. If this is not resolved today I will be leaving a public review."
Your team learns to produce this: accurate, traceable, compliant. Using the tools you already have.
I keep guiding your team as cases grow more complex and the regulation evolves.
I build the full pipeline with your team and hand over a working, compliant setup.
"Dear Ms Martin, thank you for contacting us. We have located your cancellation request of March 14th and confirm it was processed correctly on that date. The charge of April 1st was applied in error and will be refunded in full within 5 business days. We sincerely apologise for this and value your loyalty as a long-standing customer."
- Cancellation date verified against account record
- Refund commitment verified against refund policy §4.2
- Timeline (5 days) verified against processing SLA
Every claim in the draft is linked to a source your team can check before sending. That is what the EU AI Act requires. That is what the course teaches.
Built to Be Trusted
Generic AI sounds equally confident whether it is right or wrong. Wherever being wrong has a cost, that is the whole problem. This is the standard I build to.
Media Center
I have appeared in several media events
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Testimonials
In their own words, from learners at the Digital Learning Hub.
Contact
Want to build something, de-risk an AI you already have, or get your team using AI well? Email tomer [at] libal.info or connect on LinkedIn.
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