Dr leonard Browne

Name: Dr. Leonard Browne

Address: 

Department of  Epidemiology & Public Health, Western Gateway Building, Western Road, Cork

Telephone: +353 21 4205536

Email: leonard.browne@ucc.ie

Biography.

Dr. Leonard Browne is a postdoctoral researcher in Biostatistics working on the HRB funded project "Lifestyle transition and trajectories through the Lifecourse". His work entails using longitudinal data analysis and functional data analysis methods of accelerometer data. The aim of this work is to identify subgroups based on dietary and physical activity data, and to model longitudinal associations between time-dependent factors, their trajectories, and subsequent health outcomes.

Prior to this, Leonard was a part of a Marie Curie Industry-Academia Partnerships and Pathways (IAPP) working as a research fellow on the project “Development of Hemodynamic Solutions in Renal Dialysis Venous Access Failure”. He graduated from the University of Limerick in 2010 with a Bachelor of Engineering in Biomedical Engineering from the Department of Mechanical, Aeronautical and Biomedical Engineering at the University of Limerick, his final year project focused on assessing the influence of osteoporosis on the performance of cementless hip implants utilising the finite element analysis method. He continued his education in the field of biomedical engineering by undertaking a PhD with the Centre for Applied Biomedical Engineering at the University of Limerick after been awarded an Irish Research Council for Science, Engineering and Technology (IRCSET) Postgraduate Scholarship in 2010. He graduated in 2015, his thesis was entitled “Quantifying the hemodynamic characteristics of an arteriovenous fistula used for hemodialysis” which focused on developing a strategy combining computational fluid dynamics and medical imaging to assess hemodynamic induced injury and loss of fistula patency.

Research Interests

Computational Fluid Dynamics, Vascular access remodelling and maturation, Medical Devices, Hemodynamics, Aneurysm, Image Segmentation, Physical Activity, Functional Modeling, Longitudinal Data Analysis