
Javier is committed to improving health outcomes through data, transitional research and teaching. He has experience leading and working with interdisciplinary research teams to conduct quantitative and knowledge synthesis research. During his PhD, he published research articles in public health and transport safety journals by employing classic machine learning algorithms to understand the objective and subjectively perceived risk of pedestrian trauma. Furthermore, he earned a scholarship from the Colombian Ministry of Technology to acquire further data science and programming skills. He is currently working on further research outputs from his PhD, building research capacity in developing countries by tutoring students of the Master of Public Health at Universidad del Norte in Barranquilla, Colombia and is a collaborator on the “Radiology artificial intelligence, a systematic evaluation of methods (RAISE): a systematic review protocol” (https://insightsimaging.springeropen.com/track/pdf/10.1186/s13244-020-00929-9.pdf). PhD project: https://research.qut.edu.au/carrsq/staff/javier-rodriquez/ Google Scholar: https://scholar.google.com/citations?user=1Cbg-NQAAAAJ&hl=es