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Academic collaboration

A research program about the gap between measurement and decision.

For universities and researchers seeking collaboration across AI, biomedical informatics, digital health and education.

For universities

One research program across multiple domains

Four questions connect the work: who changes, who sets capacity, what does the category mean, and what counts as evidence of readiness?

Research statement

I study what happens when a score, category or ranking becomes a decision about people. The program connects decision intelligence, AI evaluation, biomedical informatics, digital health and education.

Research agenda →

Teaching statement

I design teaching around defensible judgment: a clear question, inspectable evidence, stated limits and outputs students can explain rather than merely produce.

Teaching & iSCARB →

Research record

The current CV record includes 40+ peer-reviewed publications. Citation count and h-index are kept dynamic and delegated directly to Google Scholar.

Google Scholar →

Background and collaboration

PhD and MS from the University of Colorado Boulder, a visiting/collaborative record with KAUST, and current work at King Abdulaziz University.

Academic CV →

Collaboration

Where we could work together

I welcome joint projects, independent replication, co-supervision and research or teaching visits when the question, responsibilities and evidence outputs are explicit.

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