Focused evaluation across biomedical AI, quantitative imaging, and computational research. Each engagement is shaped around a defined scientific question.
Evaluate scientific reasoning with domain-specific tasks, explicit scoring criteria, and structured error analysis.
Examine whether a computational workflow behaves as intended, and identify the assumptions that could change its conclusions.
Investigate imaging and molecular data with attention to measurement, uncertainty, and biological interpretation.
Depending on the agreed scope, deliverables may include evaluation protocols, scoring rubrics, analysis code, structured findings, and a prioritized set of recommendations.
Methods, assumptions, and limitations are documented alongside results.
