From clinical neuropsychology to biomedical engineering.

My professional work has focused on cognitive assessment, neuropsychological care and dementia.

Over the years, I have worked with people experiencing memory problems, cognitive decline and neurological difficulties, as well as with their families and care environments.

This experience has given me a strong interest in early detection, functional assessment, personalised care and the communication of complex clinical information.

It has also shown me the limitations of current tools and the need for better ways to measure, understand and support brain health.

After years of clinical practice, I realised that many of the questions that interested me most extended beyond psychology.

How can we measure cognitive change more accurately? How can biological signals complement clinical observation? How can technology support, rather than replace, professional judgement?

Studying Biomedical Engineering allows me to understand the scientific and technical foundations behind these questions.

Rather than changing careers, I see this as expanding one.

My goal is to combine clinical reasoning with engineering, neuroscience and computational methods to contribute to technologies that improve brain health in meaningful and responsible ways.

I believe that the future of neuroscience will depend on collaboration between clinicians, engineers, computer scientists and researchers.

I am interested in technology that supports clinical reasoning without replacing the complexity of human judgement.

Data, algorithms and devices can be powerful, but only when their limitations are visible and their results remain interpretable.

My approach is interdisciplinary, clinically grounded and cautious about false precision.

I am particularly interested in research that combines technical rigour with ecological validity and real-world relevance.