Bartłomiej Chybowski
Thesis title: Computational models of circadian and ultradian effects in seizures rooted in physiological knowledge
Address
- Street
-
Alexander Graham Bell building
Thomas Bayes Road
King's Buildings - City
- Edinburgh
- Post code
- EH9 3FG
Qualifications
He completed a BEng in Computer Science at The Silesian University of Technology in Poland in 2015. Since then, he has been working as a Software Engineer.
In 2017, he started studying toward MSc in Computer Science at Robert Gordon University in Aberdeen. After graduation, he transitioned to Data Analyst and then a Data Scientist role.
In 2021 he started an internship with the Computational neuroscience research group at the Czech Academy of Sciences in Brno. As part of the internship, he worked on the improvement of multi-feature models for epileptic foci localisation.
He joined the ERUK-DTC in 2022 as a PhD student, where he works on computational models of circadian and ultradian effects in seizures rooted in physiological knowledge.
Research summary
My research interests lie at the intersection of computational neuroscience, data science and programming. I am particularly interested in analysing electroencephalogram signals (EEG).