PROFESSIONAL STORY
A path shaped by rigor, field questions and usable systems
The profile is multidisciplinary, but not fragmented. Each layer adds a way to move from abstraction to institutional reality, and from analysis to decision support.
Foundations
From mathematics to economic reasoning
Mathematics gave the first discipline: precision, structure and the habit of proving before asserting. Economics and statistics then turned that discipline toward real social and institutional questions.
Training
Training as an Ingénieur Statisticien Économiste
The ISE path brought together statistical theory, economics, econometrics and public decision problems. It shaped a profile that is comfortable with models, but also with the limits and responsibilities of measurement.
Institutions
Inside official statistics
Work around official statistics added another layer: standards, field operations, quality control, national accounts, indicators and the care required when data becomes public evidence.
Research
Economic and econometric research
Applied research sharpened the connection between methods and interpretation. The goal is not only to estimate, but to explain what can be trusted, what remains uncertain and what a decision-maker can responsibly use.
Systems
Into data science and software
Data science and software became the bridge from analysis to use. Interfaces, dashboards, pipelines and web products make analytical work easier to inspect, reuse and act upon.
Transmission
Consulting, teaching and the CaSEG to EM² story
Consulting and teaching contexts pushed the work toward clearer explanation and stronger implementation. CaSEG was the starting identity of that initiative. EM² Data & AI Lab is the current public identity.
Now
What I am building now
Today the focus is on analytical systems that combine economic thinking, statistical care, reproducible methods and digital delivery, especially where evidence must become a tool for action.