Professor Earnest is a leading academic research biostatistician at the Biostatistics Unit & Deputy Head, Clinical Outcomes Data Reporting and Research Program (CORRP) at the School of Public Health & Preventive Medicine (SPHPM). He has authored a successful textbook (https://www.amazon.com.au/Essentials-Successful-Biostatistical-Collaboration-Earnest/dp/1482226987), three book chapters, and 245 publications in peer-reviewed international medical journals, earning 19 scientific awards and scholarships. With an H-index of 54 and an I10-index of 173 (citations=10742), his expertise in biostatistics is well-recognized.

Professor Earnest coordinates the MPH5270 unit on Advanced Statistical Methods for Clinical Research and developed the "Clinical Registries Data Analysis using Stata" course, which has been successfully running for six years. He collaborates with diverse audiences, including government bodies, non-government entities, patient advocacy groups, professional organizations, and the private sector.

He provides critical input to several national registry steering committees and aims to extend his leadership in data analytics for clinical registries, machine learning and Bayesian spatio-temporal modeling. He has been instrumental in managing a statistical team that supports around 30 clinical registries. Recognized as a national and international leader, Professor Earnest is actively involved in grant review panels, ethics review panels, clinical trial data safety monitoring boards, and statistical conferences.

Machine learning models

Bayesian spatio-temporal models

Big data and clinical registries