Sammi Chekroud

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.