Alexander is an MD/PhD physician-scientist with psychiatry training and a PhD in Data Science from the University of Bergen. His research has included machine-learning applications to neuroimaging, including work on predictive models for Alzheimer’s disease. He has held research roles at Stavanger University Hospital and Karolinska Institutet, and his published record spans neuroscience, cognitive change, and psychiatric research. His current public work in medical AI focuses on clinical architecture, evaluation, safety controls, and the conditions needed for systems to remain traceable in real-world use.

As a Europe-based INLIBRIUM team member, Alexander is engaged for defined psychiatric, analytical, evidence, or clinical-systems questions within a client’s individualized six-month program. He works in coordination with the broader team so that relevant medical, psychological, and program information can be considered coherently, while staying within his documented role. He is not presented as a replacement for the client’s continuing psychological relationship, the team’s neurological specialist, or local medical authority.

Alexander’s work is shaped by a simple standard: a model, metric, or compelling explanation is valuable only when its limits are visible. He brings that discipline to individualized care—asking what the evidence supports, what it cannot establish, and what should still be decided through careful human judgment.