My research interests are broadly in the areas of machine learning and computer vision. I am particularly interested in questions related to human-in-the-loop machine learning with the aim of creating next-generation methods that make use of the complementary strengths of humans and machines. In addition, I am interested in problems such as representation learning, 3D understanding, and computational challenges in biodiversity monitoring. 

Oisin Mac Aodha received a BEng in Electronic and Computing Engineering from the National University of Ireland Galway in 2007. He then went on to receive an MSc in Machine Learning from the University College of London (UCL) in 2008 and afterwards spent one year as a research assistant at ETH Zurich. He was awarded an NUI Travelling Studentship in the Sciences in 2010 and subsequently obtained a PhD in Computer Science from UCL in 2014 under the supervision of Prof. Gabriel Brostow. After his PhD he was a postdoc at UCL working on interactive machine learning methods for efficient biodiversity monitoring. Between 2016 and 2019 he was a postdoc at the California Institute of Technology working with Prof. Pietro Perona. In 2019 he started as a Lecturer in Machine Learning in the School of Informatics at the University of Edinburgh, and in 2024 he became a Reader.

BEng Electronic and Computing Engineering, National University of Ireland Galway, 2003-2007
MSc Machine Learning, University College London, 2007-2008
PhD Computer Science, University College London, 2010-2014