Oliver performs research in the areas of outlier and drift detection with particular focus on overcoming impracticalities that arise in machine learning deployment contexts. He previously performed geometric deep learning research at a virtual reality startup and obtained an integrated masters degree in mathematics and statistics from the University of Oxford.