Armando Teixeira-Pinto is Professor of Biostatistics in the Sydney School of Public Health, Faculty of Medicine and Health, at the University of Sydney. He studied Mathematics at the University of Porto in Portugal before obtaining his Master's degree in Biostatistics in 2004 and his PhD in Biostatistics in 2007 from Harvard University. Throughout his career, he has held positions advancing biostatistical applications in clinical research and public health. Currently, he serves as co-Director of the Centre for Kidney Research and contributes to the Sydney Precision Data Science Centre, focusing on projects in cardiovascular data science and other precision health initiatives.

Professor Teixeira-Pinto's research specializations encompass statistics, epidemiology, and public health, with a particular emphasis on developing multivariate statistical methods for analyzing multiple outcomes in observational studies, cohort analyses, and clinical trials. His work addresses key challenges in nephrology, chronic kidney disease, transplantation outcomes, sleep disturbances, physical activity, and glaucoma progression. He has authored numerous peer-reviewed publications in high-impact journals, accumulating over 9,400 citations. Notable publications include 'Two Novel Equations to Estimate Kidney Function in Persons Aged 70 and Older' (Annals of Internal Medicine, 2012), 'Prediction modeling—part 1: regression modeling' (Kidney International, 2020), 'Recommendations for Statistical Reporting in Cardiovascular Medicine' (Circulation, 2021), 'Vigorous intermittent lifestyle physical activity (VILPA) and mortality risk among US adults: a wearables-based national cohort study' (2026), 'BEAT-BK: An Adaptive, Randomized Controlled Trial to Treat Polyomavirus Infections (BKPyV) in Kidney and Kidney-pancreas Transplantation Recipients' (2026), and 'A systematic review of AI for predicting glaucoma progression: challenges and recommendations towards clinical implementation' (Nature Digital Medicine, 2026). His contributions extend to systematic reviews, meta-analyses, and protocol developments for trials like NAVKIDS2 and vascular access studies. Teixeira-Pinto teaches biostatistics courses, supervises postgraduate research, and participates in workshops on statistical methods for public health professionals.

Professional Email: armando.teixeira-pinto@sydney.edu.au