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How can cognitive change be detected earlier?
Exploring how cognitive assessment, behavioural data, biomarkers and physiological signals might contribute to earlier and more sensitive detection of neurological change.
Research
Understanding the brain through clinical insight, data and technology.
My research interests sit at the intersection of neuropsychology, neuroscience, biomedical engineering and artificial intelligence. I am particularly interested in how technology can improve the measurement, interpretation and support of brain health.
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Core questions
The problems I want to understand.
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How can clinical data become more meaningful?
Investigating ways to connect test performance, neuropsychological interpretation and everyday functioning without reducing complex human behaviour to isolated scores.
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How should artificial intelligence support clinicians?
Examining explainable, transparent and responsible systems that support professional judgement while preserving clinical context and human accountability.
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What makes brain health technology genuinely useful?
Considering validity, accessibility, usability, interpretability and real-world relevance in the design of tools for assessment, monitoring and care.
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Research areas
Four connected fields.
Clinical
Neuropsychology
Cognitive assessment, dementia, clinical reasoning, functional impact and the interpretation of cognitive performance within a person’s broader context.
Biological
Neuroscience
Brain health, neurodegeneration, biomarkers, neuroimaging and the biological mechanisms underlying cognitive change.
Technical
Biomedical Engineering
Medical devices, biological signals, sensing, instrumentation and technologies for diagnosis, monitoring and rehabilitation.
Computational
Data and Artificial Intelligence
Scientific computing, data visualisation, explainable models and responsible decision-support systems for health.
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Current development
Building the technical foundations.
My current work is focused on expanding clinical experience through engineering, mathematics, biology and computation.
As a Biomedical Engineering student, I am building knowledge in biological systems, mathematical modelling, electronics, medical technology, programming and data analysis.
This stage is both educational and exploratory. The aim is not to present learning as finished expertise, but to document how clinical questions gradually become technical research directions.
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Mathematics and modelling
Developing the quantitative foundations required to describe biological systems and interpret complex data.
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Biological systems
Strengthening knowledge of cellular biology, physiology and the mechanisms underlying health and disease.
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Signals and devices
Learning how physiological information can be captured, processed and transformed into clinically useful measurements.
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Scientific computing
Building skills in programming, data analysis and visualisation for biomedical and neuroscience applications.
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Research principles
How I want to approach scientific work.
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Clinically grounded
Research questions should remain connected to patients, families, clinicians and real-world care environments.
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Interpretable
Tools and models should make their reasoning, uncertainty and limitations visible.
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Interdisciplinary
Progress in brain health requires collaboration across clinical, biological, technical and computational fields.
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Human-centred
Technology should increase understanding and care, not add unnecessary complexity or distance.
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Outputs
Research in progress.
Publications
Scientific publications
Academic publications and formal research outputs will be added as this work develops.
In developmentProjects
Technical and academic projects
Selected biomedical engineering projects, experiments and technical learning records.
View projectsWriting
Essays and research notes
Reflections on neuropsychology, neuroscience, engineering and the future of brain health.
View writingContact
Interested in interdisciplinary research?
I am open to conversations related to neuropsychology, neuroscience, biomedical engineering, medical technology and brain health research.
contact@carolinasanchezgirona.com