Caoilainn Doyle, Ph.D.

Postdoctoral Fellow - Neuroscape


UCSF – Mission Bay
Sandler Neuroscience Center
MC 0444, 675 Nelson Rising Lane
San Francisco, CA 94158



Curriculum Vitae:



Caoilainn graduated from Waterford Institute of Technology in 2014 with a first class honors degree in psychology. During her undergraduate, Caoilainn volunteered as a research assistant with Dr David Delany working on projects exploring executive function, cognitive reserve and aging. After taking an elective in clinical and experimental neuropsychology, she became fascinated by the growing evidence of neural and cognitive plasticity in humans. She was particularly interested in potential applications of cognitive training for remediating impairments in a range of clinical conditions. Caoilainn quickly realised that she wanted to pursue a career in academia and enrolled in a PhD program at Dublin City University in September 2013.

During her PhD, Caoilainn worked with cognitive (Dr Lorraine Boran), educational (Dr Geraldine Scanlon), and clinical (Dr Jessica Bramham) psychologists, neuroscientists (Dr Richard Roche and Dr David Delany) and a computer scientist (Prof. Alan Smeaton), on a multidisciplinary project exploring the executive function profile associated with dyslexia and comorbid dyslexia-ADHD. Her graduate work also explored whether inhibitory control training transfers to measures of neurophysiology (ERPs), other executive functions and improved outcomes such as reading in children with dyslexia.

After attending Adam’s keynote presentation at CNS in 2017, she was inspired by how Neuroscape are addressing the common pitfalls of cognitive control training and working toward building scalable diagnostic and intervention tools, which could have a real world impact. Caoilainn joined Neuroscape as a Postdoctoral Scholar in August 2018. Here she will work on assessing whether cognitive control can sensitively predict dyslexia diagnosis and severity, and evaluate cognitive control training in dyslexia. More broadly, Caoilainn is interested in identifying neurocognitive endophenotypes associated with a range of developmental and clinical conditions, with the aim of enhancing early detection and intervention efforts.

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