With extensive experience in clinical trials as a medical statistician based in pharmaceutical and academic institutions, Kim provides strategic input on instrument development and the analysis and interpretation of patient-reported outcome data. She specialises in the analysis of longitudinal data with informative missing data and derivation of meaningful change thresholds.

Her PhD in Medicine from the University of Leeds used novel methodology to guide interpretation of scores from one of the most used oncology patient-reported outcome measures, the EORTC QLQ-C30. The published guidelines are now widely cited and provide guidance on appropriate minimally important differences (MIDs) for each subscale.

Kim lives in a small village in the Yorkshire Dales with her husband and two children. She enjoys travel, hiking and agility training with her dog.