Research collaboration
Universities, research groups, and funding programs
Joint studies, funded projects, and method developmentScientific discipline for better decisions under uncertainty.
I approach business problems as systems of context, data, alternatives, and decision responsibility—not as excuses to apply a fashionable technology.
Organizational application
Leadership, analytics, finance, and operations teams
Decision frameworks, analytical studies, and applied modelsExecutive and professional learning
Organizations, professional communities, and executive programs
Keynotes, workshops, seminars, and tailored learningThe decision problem—not the method—is the starting point.
- 01
Define the decision
Clarify the actual choice, stakeholders, constraints, and success criteria before starting the analysis.
- 02
Fit the method to the problem
Select a multi-criteria, statistical, or machine-learning approach around the structure of the decision.
- 03
Present evidence with its limits
Evaluate findings together with assumptions, uncertainty, and sensitivity—not as a score in isolation.
- 04
Turn analysis into a usable output
Translate the model into a decision framework, study, report, or application leaders can use.
Organizational claims require verifiable evidence.
This site does not invent clients, outcomes, or impact metrics. Public organizational cases will be published with their problem, method, output, and verification source.
- Transparent assumptions
- Explainable method
- Sourced, proportionate claims