Rate My Professor Katrina Poppe

Associate Professor Katrina Poppe is affiliated with the University of Auckland's Faculty of Medical and Health Sciences, where she holds an appointment in the Section of Epidemiology and Biostatistics, School of Population Health. She possesses qualifications including BAppSci, MSc(Hons), COPSCT, and PhD. Her professional trajectory includes commencing as a PhD student and medical statistician in the Department of Statistics, advancing to Senior Research Fellow in the Heart Health Research group within the School of Medicine. She currently serves as Co-Director of the Health Data Platform, overseeing team operations and management.

Poppe's academic interests center on cardiovascular epidemiology, encompassing risk prediction models for primary and secondary prevention, prognostic assessments in heart failure, echocardiographic reference ranges and analyses, and utilization of routinely collected electronic health data to investigate ethnic disparities in cardiovascular outcomes, particularly among Māori and Pacific populations in New Zealand. She has produced 149 publications garnering over 5,000 citations. Key contributions include 'Annual Risk of Major Bleeding Among Persons Without Known Cardiovascular Disease' (JAMA, 2018), 'Predicting Bleeding Risk to Guide Aspirin Use for the Primary Prevention of Cardiovascular Disease' (Annals of Internal Medicine, 2019), 'Cardiovascular risk prediction in type 2 diabetes before and after repurposing equations' (The Lancet, 2021), and 'Development and validation of cardiovascular risk prediction equations in 76,000 people with known cardiovascular disease' (2023). Among her honors are the University of Auckland Early Career Research Excellence Award (2019), a New Zealand Heart Foundation Research Fellowship (2011), and a recent Health Research Council grant for developing an AI-driven clinical support tool for heart failure management (2025). She engages in postgraduate teaching and supervision, professional presentations on health data research, and membership in the PREDICT cardiovascular risk prediction steering group.