Teaching psychology at the University of Glasgow’s School of Psychology and Neuroscience. I have completed my PhD under Prof Monika Harvey, Prof Gregor Thut and Dr Gemma Learmonth.

My main research interest is in exploring motivation as a factor underpinning cognitive performance.

During my PhD, I contributed to research using electroencephalography (EEG) to detect biomarkers associated with mechanisms involved in fatigue. I also investigated the role of ageing in sustained attention. I developed behavioural testing protocols for online attentional experiments and novel approaches to data collection through public engagement.

My main expertise is in the field of psychobiology and cognitive neuroscience. In my research, I typically pair objective observations (EEG signals, physiological measures, task performance) with subjective reports (questionnaires, assessments, and qualitative studies of lived experience). I am particularly interested in human motivation and how it interacts with attention and our ability to perform optimally.

I am currently interested in the application of behavioural experiments and use of non-invasive EEG to study what underlies student motivation to perform well in complex performance contexts relying on key cognitive processes such as sustained attention and working memory. I am further interested in mapping the exact underlying factors relating to participant motivation to participate in and learn from laboratory experiments, as I posit that these two relationships are inherently linked.

I maintain an ongoing interest in understanding the experimental setting as a pedagogical act through methods such as public engagement, reflexive participation and outreach to underrepresented populations and its potential to enhance the generalisability of psychological findings.

I primarily see coding as thinking. Human-written code in scientific data analysis is an act of communication. An understanding of statistical theory and modelling is applied to datasets to uncover meaningful stories that they can tell. This is the approach I take in my coding pedagogy and running research projects. In my work where I continue to hand-write interactive experiments, I produce tailored analysis pipelines that transform complex data into insights mightful of their context, which drive successful outcomes far beyond generic, automatic solutions. I constantly refine my approach by working closely with colleagues, university students and each participant in quantitative psychology to identify new goals and objectives to drive ongoing customised analysis plans tailored to their specific needs and context.