About

I am broadly interested in how humans and computer vision models understand what they see. My research focuses on how visual cortex allows us to distinguish and recognize objects, scenes and people from the raw patterns of color and shade that enter our eyes. I am using a range of empirical techniques to investigate this topic, including functional magnetic resonance imaging (fMRI), electroencephalography (EEG), psychophysics and computational modeling. More recently, I have been exploring artificial deep neural networks as image-computable models of the human visual system, and how to develop more human-aligned models through new architectures, training datasets, and visual tasks.

Originally from Bournemouth, England, I completed my Bachelors in Psychology at the University of the West of England in 2013 and a Masters in Cognitive Neuroscience at the University of York in 2014. I then stayed at York to do a PhD in Cognitive Neuroscience and Neuroimaging under Prof. Tim Andrews and Dr. Daniel Baker, which I attained in 2019. Since then, I have been working as a post-doctoral researcher under Prof. Frank Tong at Vanderbilt University, Nashville, USA.

I live in rural Tennessee with my wife Cansu, two Great Pyrenees mountain dogs, two cats, and a fluctuating number of chickens.