معرفی
Sammi Chekroud is a Postdoctoral Researcher in the Computational Cognitive Neuroscience (CCN) Lab led by Jill O'Reilly at the University of Oxford, and a Tutor for Statistics in the undergraduate psychology program. They hold affiliations with the Oxford Centre for Human Brain Activity and the Wellcome Centre for Integrative Neuroimaging. Chekroud completed their DPhil in 2022 under Kia Nobre and Nils Kolling, following a BA in Experimental Psychology from Oxford (2015). Their research focuses on computational modeling of cognitive processes, particularly how humans evaluate uncertainty in internal representations shaped by attention and sensory input. They combine psychophysics, EEG/MEG, and eye-tracking to study working memory, perceptual decision-making, and attentional dynamics. Additionally, they investigate large-scale datasets to improve mental health interventions, notably collaborating on studies about exercise and mental health. Their work bridges computational neuroscience, clinical psychology, and public health.
Key educational milestones include a BA (2015) and DPhil (2022) from the University of Oxford, with three years as a Research Assistant in the Brain and Cognition lab. Their research spans computational cognitive neuroscience, mental health epidemiology, and translational research. Notable contributions include analyzing 1.2 million individuals to demonstrate exercise’s mental health benefits and elucidating how attention modulates working memory confidence.
Research interests emphasize uncertainty evaluation in cognitive processes, with studies on gaze behavior reflecting attentional focus and neural mechanisms underlying working memory-guided actions. Their articles explore topics ranging from motor selection during memory tasks to the neural correlates of prioritization in memory systems. Chekroud actively contributes to interdisciplinary collaborations, integrating computational methods with clinical data to address real-world mental health challenges.
