Postdoctoral Research Fellow, XL Catlin Seaview Survey
Dr Oscar Beijbom is undertaking a joint post-doc at the Global Change Institute and the Berkeley Vision and Learning Center, where he works on automated quantification of scientific image-data using deep learning. Oscar’s work is jointly supervised by Trevor Darrell at UC Berkeley and Ove Hoegh-Guldberg at The University of Queensland. As part of his work with the Global Change Institute, Oscar is developing CoralNet, deploying deep convolutional neural networks for automated annotation of the XL Catlin Seaview Survey images.
Outside academia, he was lead developer at Hövding where he created the algorithmic framework and hardware design for their invisible bicycle helmet. He has also worked on automated dietary logging systems for consumer applications and focusing algorithms for image-based cell analysis.