Trevor Cohen, MBChB, PhD

My primary research interest is in empirical distributional semantics, or put somewhat more simply what machines can learn about meaning from unannotated natural language and mostly biomedical text, and how this learning relates to human cognition.

In addition I am interested in how it is that humans detect and recover from error, in particular medical error. My research is conducted in the Center for Cognitive Informatics and Decision Making which is situated in the School of Biomedical Informatics at UTH.