For organizations

I approach business problems as systems of context, data, alternatives, and decision responsibility—not as excuses to apply a fashionable technology.

Scientific discipline for better decisions under uncertainty.

Research collaboration

Universities, research groups, and funding programs

Joint studies, funded projects, and method development

Organizational application

Leadership, analytics, finance, and operations teams

Decision frameworks, analytical studies, and applied models

Executive and professional learning

Organizations, professional communities, and executive programs

Keynotes, workshops, seminars, and tailored learning

The decision problem—not the method—is the starting point.

  1. 01

    Define the decision

    Clarify the actual choice, stakeholders, constraints, and success criteria before starting the analysis.

  2. 02

    Fit the method to the problem

    Select a multi-criteria, statistical, or machine-learning approach around the structure of the decision.

  3. 03

    Present evidence with its limits

    Evaluate findings together with assumptions, uncertainty, and sensitivity—not as a score in isolation.

  4. 04

    Turn analysis into a usable output

    Translate the model into a decision framework, study, report, or application leaders can use.

Share the context of your decision problem.

Get in touch about research collaboration, analytical work, speaking, or organizational learning.

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