Bio

Oisin Mac Aodha is a Lecturer in Machine Learning in the School of Informatics at the University of Edinburgh. From 2016-2019, he was a postdoc in Prof. Pietro Perona's Computational Vision Lab at Caltech. Prior to Caltech, he was a postdoc in the Department of Computer Science at  University College of London (UCL) with Prof. Gabriel Brostow and Prof. Kate Jones. He received his PhD from UCL in 2014, advised by Prof. Gabriel Brostow, and has an MSc in Machine Learning from UCL an BEng in electronic and computing engineering from NUI Galway in Ireland. Along with being a Fellow of the Alan Turing Institute, he is an Honorary Research Fellow at the Centre for Biodiversity and Environment Research at UCL, and a European Laboratory for Learning and Intelligent Systems (ELLIS) Scholar.    

Research interests

Oisin's current research interests are in the areas of computer vision and machine learning, with a specific emphasis on human-in-the-loop methods. This includes active learning based approaches for efficient data exploration and annotation, in addition to machine teaching methods for computer assisted teaching of concepts to human learners. He also works on fine-grained image analysis, as part of the team that developed the iNaturalist Challenge Datasets, and self supervised monocular depth estimation (i.e. Monodepth). Finally, he is interested in applications of machine learning and computer vision for problems in biodiversity monitoring.