Light-based innovation for the biosciences

Dr. Caie is a Lecturer at the University of St Andrews and leads the ‘QUantitative And Digital (QUAD) pathology lab’ in the school of medicine and the ‘digital diagnosis and emerging technologies’ research platform at the Mackenzie Institute for Early Diagnosis (http://med.st-andrews.ac.uk/mackenzie/). He is PI for pathology and AI research on the pan-Scotland consortium iCAIRD (https://icaird.com/about/eco-systems/) which aims to automate the rapid and accurate diagnosis of gynaecology biopsies through computer vision.

His work concentrates on applying digital pathology and artificial intelligence on patient data obtained from multiple sources. He works on a diverse group of projects addressing clinical research in renal, bladder, colorectal, oesophageal and gynaecological cancers. The main drive of his research is to design models that allow an earlier, more precise and personalised diagnosis and prognosis. Prior to his academic post at the University of St Andrews, he received his PhD in Digital Pathology from the University of Edinburgh, a Masters of Research and B.Sc Hons in Molecular and cellular biology from the University of Glasgow and worked for AstraZeneca in the pharmaceutical industry for 9 years.

Research areas:

  • Image analysis
  • Molecular pathology

QUAntitative and Digital (QUAD) Pathology research group