Researcher biography

Daniel is a PhD candidate with a background in software and electrical engineering. 2D images and manually labelled data is the focus of a large portion of current AI research. For his PhD, Daniel is investigating algorithms that are less reliant on expensive labels and are applicable to the 3D data. He is interested in AI, robotics, neuroscience, and the positive impacts these fields can have on the world. Daniel’s global perspective developed throughout his undergraduate degree during which he completed multiple exchanges and internships in Singapore, China, The USA and Melbourne, Australia. He has experience working in a variety of multi-disciplinary teams from areas including agriculture, teaching, neuroscience and medical imaging and devices. In his spare time, you will find him rock climbing, cooking or tinkering with a project.