Services
From reliable data to decision
Advanced statistics, data governance and artificial intelligence: I work on all or part of your projects, in healthcare and in industry.
Advanced statistical modelling
Study design, statistical analysis plans, sample size calculation and complex models (longitudinal data, survival analysis, causal inference, mixed models). Robust, reproducible and publishable results.
Example deliverables
- Statistical analysis plan
- Sample size calculation
- Reproducible analysis reports
- Publication-ready figures and tables
Data management and data governance
Data structuring, quality control rules, traceability and documentation. Secure, GDPR-compliant databases and data collection platforms.
Example deliverables
- Data management plan
- Data dictionary and quality control rules
- Databases and electronic case report forms (eCRF)
- Traceable data processing pipelines
Applied artificial intelligence
Generative AI and language models, computer vision: proofs of concept and demonstrators to validate an idea quickly, then development, evaluation and deployment.
Example deliverables
- Proof of concept or demonstrator
- Documented model with its evaluation protocol
- Generative AI assistant for your documents
- Deployment recommendations
Data and AI project management
Scoping, roadmap, coordination between business, clinical and technical teams, risk management and handover.
Example deliverables
- Scoping and roadmap
- Steering committees and reporting
- Quality and risk monitoring
- Handover documentation
How I work
Working together
Fixed-price project
An objective and a deliverable defined together, for a budget agreed in advance: statistical analysis, AI proof of concept, data audit…
Team reinforcement
I join your team a few days a week to speed up a project or bring in a skill you are missing.
One-off expertise
Methodological review, data quality audit, independent opinion on an AI project.
Training
Training for your teams: applied statistics, generative AI, data governance.
My method
01
Scope
Objectives, constraints and success criteria defined before any code or analysis.
02
Deliver rigorously
Quality, traceability and reproducibility by default, with regular checkpoints.
03
Hand over
Documented deliverables, ready for audit, publication or decision-making, and usable after the engagement.