Nicolas Charpenay

I support my clients in solving complex decision-making problems: operational constraints and/or uncertainties, standard approaches are insufficient. I first offer rigorous modeling assistance to establish a mathematical framework for obtaining robust results. I then design and implement a solution, providing mathematical guarantees whenever possible: proof of optimality, confidence interval, worst-case performance, etc...

My expertise is based on advanced training in applied mathematics (probability/statistics and optimization), with a scientific track record evidenced by 8 publications. I favor transparent, theoretically justified methods adapted to the real constraints of projects, thus providing reliability and methodological guarantees where approximation or "black box" are not acceptable.

More specifically, I work on:

- statistical data analysis (exploratory, inferential, model validation),

- the design of probabilistic/statistical models,

- optimization problems (stochastic or deterministic) and operational research.

My deliverables range from methodological audits and scientific framing to the implementation of prototypes (Python/Julia), technical reports, decision support tools, and operationally actionable recommendations.