I graduated from the University of Glasgow in 2022 (BSc Hons in Psychology with Neuroscience specialism). During my studies, I held various internships in research projects and as a data analyst, including in the College of Science and Engineering, Adam Smith Business School, and Planning, Insights, and Analytics. As an analyst working with large datasets from different sources, I focused on producing transparent and user-friendly code that could be reused in future. In autumn 2022, I started working as an assistant statistician in Scottish Government, where I led the development of reproducible analytical pipelines with advanced statistical techniques and design robust to human error during future re-use. In this role, I also liaised with end-users to create data collection materials and supported quality assurance of datasets and other code. I started my work as a research assistant at the University of Glasgow part time, before leaving my statistics post to be a full-time researcher in early 2024. Since then, I have been leading the design and governance of a multi-site trial to validate a RESQ+ digital health tool, while also using my project and event management experience to manage the delivery of the BioHermes data challenge. Passionate about sharing science, I am an accomplished communicator, experienced across platforms ranging from international scientific conferences to lay focus groups.

I enjoy person-centred research that synthesises quantitative and qualitative evidence to improve outcomes for populations typically underrepresented in research. I enjoy collaborative research that crosses traditional boundaries between disciplines and sectors, where I am equally comfortable as a contributor and leader.

With a background in psychology and data science, I am skilled and experienced in secondary analysis of big data. I really enjoy using my imagination and creativity to identify new uses of existing data which I can synthesise with qualitative evidence to create impactful output that informs solutions for problems facing underrepresented populations in research.

My current work is in two themes:

• Working with the EU-funded RESQ+ consortium , I use mixed methods to study digital delivery of Patient Reported Outcome Measures (PROMs) in order to create a digital tool to support stroke survivors post discharge.
• Working with the Brain Health ARC, I manage the delivery of the BioHermes Data Challenge, which opened up a large, multimodal, dataset of biomarkers in a demographically diverse cohort of older adults.

For this purpose, so far I have led qualitative research to understand the potential usefulness and barriers to a stroke-specific Virtual Assistant (VA), and mixed methods pilot testing of a VA prototype alongside quantitative psychometric assessments of the measures to be used.

My personal focus in this work is in synthesising qualitative and quantitative evidence and understanding how evidence collected from the perspective of psychology can inform tool design and vice versa.

I am collaborating with researchers to explore various mechanisms underlying presentation of Alzheimer’s dementia, but my personal focus is on cognitive resilience and its relation to neuropathology, cognition, and frailty.

In all my secondary analytical work, I advocate for open science by prioritising transparent research practice. In writing my own code as much as in supporting my fellow researchers with their own, I prioritise readability, tidy style, and reproducibility.

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