Start with a question that can be examined.
Clarify the purpose of the work, the sources available, and the expertise required. Compare definitions and sample characteristics before treating different datasets as equivalent.
04 / Approach
Let the evidence
lead the work.
Clear questions, traceable assumptions, and room for professional disagreement.
Research practice
Challenge the assumptions.
Evaluate models beyond the data on which they were developed. In finance, consider changing market conditions. In medicine, distinguish reported associations, experimental findings, and clinical outcomes.
Keep specialist judgment close.
Each department sets its own tasks and review standards. Financial and scientific leads assess the questions within their expertise, while shared engineering supports the work.
Make the reasoning traceable.
Preserve sources, assumptions, versions, and unresolved questions. A useful research record allows another person to understand what changed and why.
Research leadership
Give good work time.
Keep responsibility clear.
The independent research effort is supported by Katharina and her family. Personal finances and research project funds are managed separately, with budgets and responsibilities assigned to the work.
Long-term commitment does not mean defending every initial decision. When evidence changes the case for a project, its direction and resources should be reconsidered.
A shared foundation
Distinct disciplines.
Connected ways of working.
AI Finance and AI Medicine share data engineering, model testing, and management support. Their research questions and professional judgments remain specific to each field.
The purpose of AI is to help organize complexity and support better questions. The responsibility for interpreting evidence stays with people.