• Multiway analysis
• Brain connectivity
• Network theory
• Multivariate signal processing
• Applications of pattern recognition to physiological data
• Electroencephalogram (EEG) and Electromyogram (EMG)
• Alzheimer's disease
• Epilepsy

In my research, I create and apply data analysis tools to extract information from biomedical signals and clinical time series.

My main aim is to reveal the subtle changes that major diseases (e.g., Alzheimer's and epilepsy) cause in the brain activity.

In collaboration with researchers at Edinburgh, across the UK and overseas, I am currently working in the processing and analysis of biomedical signals, particularly human brain activity. By developing and applying signal processing methods, I aim at increasing our understanding of how several brain conditions progress. Of particular interest is the evaluation of brain functional connectivity in both neurodevelopmental and neurodegenerative diseases to understand how they affect the way in which different brain regions interact with each other. I am also interested in the interplay between structure and function in the brain and in the application of pattern recognition techniques to highly-dimensional clinical datasets to support decision making. Finally, I also work in the development of non-invasive methods for rehabilitation purposes, being either the dexterous controls prostheses for amputees or brain-computer interfaces.

If you want to know more, check out my "Research in a nutshell" video: Biosignal processing

Multiway analysis

Brain connectivity

Network theory

Multivariate signal processing

Applications of pattern recognition to physiological data

Electroencephalogram (EEG) and Electromyogram (EMG)

Alzheimer's disease

Epilepsy