Contributed to research projects by executing structured tasks within established methodologies. Responsibilities included reviewing and coding data, interpreting observations, and ensuring the reliability and accuracy of outputs. Work followed project-specific protocols while applying critical thinking to extract relevant insights.

Managed both structured and unstructured data, performing careful review, validation, and preliminary analysis. Tasks included synthesising assessment data, coding observational notes, and ensuring data consistency across sources. Precision and attention to detail were crucial to produce high-quality, actionable results.

Generated insights supported by evidence-based decisions, which informed project directions. Analysis highlighted patterns and trends within the data, contributing to an improved understanding of complex phenomena. In some instances, such as research on post-stroke visual perception, findings directly supported practical clinical recommendations and enhanced assessment practices.

• Data review, synthesis, and trend identification

• Critical analysis and insight generation

• Observational and assessment-based interpretation

• Evidence-based recommendations for research or clinical practice

• Collaboration with multidisciplinary teams

• Applying research methodology across clinical and non-clinical domains