Data Analytics | DARTH-group | University of Edinburgh

Group photo Feb. 2020

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DARTH group mission

Ever-increasing healthcare provision demands strain national health systems globally, which struggle to meet patients' needs. There is a growing unmet clinical need to develop accurate, robust, practical decision support tools to facilitate diagnosis, assessment, and symptom monitoring to improve patient health and care.

We are a dynamic research group based at the Usher Institute, University of Edinburgh working at the interface of engineering, mathematics, informatics, and medicine. We passionately believe we can design and provide effective solutions which will revolutionize contemporary healthcare delivery through capitalizing technology and harnessing data.

We develop and apply signal processing and statistical machine learning algorithms to explore data and decipher complicated concealed statistical relationships. Our algorithms are directly driven by and validated on complicated real-world problems, aiming to facilitate interpretation of the underlying key mechanisms of the modelled system. Our work is inherently multi-disciplinary and we collaborate with industrial partners and researchers worldwide. We tackle challenging problems in healthcare domains from neurodegenerative disorders and mental health, to asthma, cardiovascular disease, and neonatal monitoring.

Interested students and post-docs to join my group

If you are interested to work with me and decide to contact me, it would be useful if you attach (1) your CV; (2) transcripts; (3) evidence of independent work, ideally e.g. if you have written an undergraduate/master's thesis. Please explain in brief (a) your background/skillset/extenuating circumstances (where applicable), (b) why you want to work with me, and (c) what you would like to work on (a short proposal).

I get a very large number of emails - if I haven't responded within a week, please resend.

We are hiring! Current opening for post-doctoral research fellow post

We are seeking to recruit a post-doctoral researcher for 2.5 years to work on the AMBIENT-BD project, focusing on multimodal data analysis to provide clinically actionable insights into bipolar disorders. This is work in close collaboration with the Division of Psychiatry and the Circadian Mental Health Network. For details see here.

Katherine successfully defended her PhD thesis on 25 March 2026

Katherine has defended her PhD thesis entitled: “Digital health strategies for endometriosis symptom monitoring using wrist-worn wearables and statistical machine learning”. Her examiners, Prof. Rebecca Reynolds (University of Edinburgh) and Prof. Aiden Doherty (University of Oxford), were very complimentary regarding the significance, rigor, and impact of this work which has already resulted in four high quality journal publications. She has very minor corrections pending before this is formally approved.

Thanasis appointed Founding Fellow of the Academy for the Mathematical Sciences

The Academy for the Mathematical Sciences, the UK's National Academy for Mathematics made a formal announcement on the milestone of appointing the inaugural cohort of 100 Founding Fellows: "[...] vision to bring together the UK’s strongest mathematical scientists across academia, education, business, industry, and government to help solve some of the UK’s biggest challenges. Included among this inaugural cohort of Fellows are winners of the Fields Medal (the mathematics equivalent of a Nobel Prize), leading business people, distinguished teachers and academics, science communicators, and pioneers of computing and machine learning."