- Computational Cognitive Neuroscience Lab (O'Reilly Lab)
I am a postdoc in the Computational Cognitive Neuroscience (CCN) lab, headed by Jill O'Reilly.
My current work focuses on understanding how learn about uncertainty, in the context of making working-memory-guided decisions. I am specifically interested in how people process feedback in an adaptive way to learn about their own working-memory performance and the structure of the environment. To understand these processes, I use a combination of psychophysical methods along with physiological (eye-tracking) and non-invasive brain imaging techniques.
I completed my DPhil in 2022 here in Oxford working with Kia Nobre and Nils Kolling, looking at how uncertainty and reward shape working-memory performance. I received my BA in Experimental Psychology from Oxford in 2015. Following my undergraduate degree, I worked as a Research Assistant in the Brain and Cognition lab for three years, supporting work on how attention shapes the use of working memories, using psychophysical methods, eye-tracking, EEG and MEG.
I also have a strong interest in the use of large, pre-existing datasets to enhance mental health treatments and care. I worked part-time on a collaboration with researchers at Yale to further investigate the association between exercise and mental health.
Efficacy of Resistance Exercise Training With Depressive Symptoms.
Chekroud SR. and Chekroud AM., (2018), JAMA Psychiatry, 75, 1091 - 1092
Decoding the influence of anticipatory states on visual perception in the presence of temporal distractors.
van Ede F. et al, (2018), Nat Commun, 9
Benefits of flexible prioritization in working memory can arise without costs.
Myers NE. et al, (2018), J Exp Psychol Hum Percept Perform, 44, 398 - 411