Philippe Fontaine

I am a data scientist with a strong background in statistics, economics and computer science, working for public institutions. My work focuses on putting data at the service of public decision-making: evaluating public policies, analysing public finances and detecting fraud, always with a clear and documented methodology.

After graduating from Ensai with a focus on statistics, economics, and computer science, I worked at Insee and then at the French Treasury, where I was responsible for corporate tax forecasting and contributed to international tax reforms. I later joined the General Inspectorate of Finance as a data scientist, working on fraud detection, public policy evaluation and large-scale administrative data (health, tax, public finances). I am now a data scientist at the French Senate, providing quantitative support for evaluation and legislative work on economic, social and budgetary topics.

Passionate about cybersecurity and social psychology, I also develop R Shiny applications and open-source tools. Across all these projects, I pay particular attention to confidentiality, ethics and compliance with data protection regulations (including GDPR).

I am especially interested in roles where data science supports the public interest: evaluation units, financial and economic directorates, audit and inspection bodies, regulatory or supervisory authorities, and parliamentary or independent institutions.