Skip to main content
Petroula Laiou

Dr Petroula Laiou

Research Fellow

Research interests

  • Mental Health

Biography

I am a research fellow with background in mathematics and computational physics (Aristotle University of Thessaloniki, Greece). During my PhD in the University Pompeu Fabra (Barcelona, Spain) I worked with data-driven approaches that aim to characterise non-linear directional interactions between dynamical systems. Afterwards, I moved to the University of Exeter (UK) where I used mathematical modelling and optimisation approaches to estimate the outcome of brain surgery in epilepsy patients. I applied methods from graph theory, dynamical systems and time series analysis. Currently, I am analysing data derived from wearable devices in order to advance our understanding of various neurological disorders such as epilepsy and major depression.

Research Interests 

  • Analysis of electroencephalographic recordings
  • Mathematical modelling
  • Analysis of data obtained from wearable devices

Research

KERC Seminar Series image
King's Epilepsy Research Collective (KERC)

The King’s Epilepsy Research Collective (KERC) provides a platform for researchers from all of King’s faculties to meet and discuss research and to support collaborative activities.

News

Spending more time at home is linked to more severe symptoms in people with depression

Researchers from the RADAR-CNS project have used data from smartphones and wearables to investigate the association between time spent at home and the...

More than one in three young adults report symptoms of ‘smartphone addiction’, regardless of length of daily use

Research

KERC Seminar Series image
King's Epilepsy Research Collective (KERC)

The King’s Epilepsy Research Collective (KERC) provides a platform for researchers from all of King’s faculties to meet and discuss research and to support collaborative activities.

News

Spending more time at home is linked to more severe symptoms in people with depression

Researchers from the RADAR-CNS project have used data from smartphones and wearables to investigate the association between time spent at home and the...

More than one in three young adults report symptoms of ‘smartphone addiction’, regardless of length of daily use