Dr Tunde Csoban

Teaching Fellow

Mathematics and Statistics

Contact

Personal statement

I am an applied statistician with research itnerest in women's health, mental health, and equality, diversity and inclusion. My work has primarily focused on pre-eclampsia, and cervical and lung cancers. My statistical expertise includes predictive modelling, machine learning, missing data handling, and developing interactive and accessible dashboards. Additionally, I have a strong interest in online teaching, and accessibility in education.

Back to staff profile

Publications

Development and external validation of Mini PIERSdynamic Model for predicting the adverse maternal outcome of preeclampsia in low-resource settings
Yang Guiyou, Montgomery-Csobán Tünde, Lunter Gerton, Ganzevoort Wessel, Gordijn Sanne J, Murray Paul, Kavanagh Kimberley, Magee Laura, Groen Henk, von Dadelszen Peter
Hypertension Vol 83 (2026)
https://doi.org/10.1161/HYPERTENSIONAHA.126.27270
Performance of the Pre-Eclampsia Integrated Estimate of Risk–Machine Learning (PIERS-ML) model in a Kenyan cohort of women with pre-eclampsia- a retrospective test derivation validation study
Nyagaka Felix, Csoban Tunde, Gichere Ingrid, Mwaniki Mukaindo, Kavanagh Kimberley, Magee Laura A, von Dadelszen Peter, Oindi Felix
BMC Pregnancy and Childbirth Vol 26 (2026)
https://doi.org/10.1186/s12884-026-09585-1
Consecutive prediction of adverse maternal outcomes of preeclampsia, using the PIERS-ML and fullPIERS models : a multicountry prospective observational study
Yang Guiyou, Montgomery-Csobán Tünde, Ganzevoort Wessel, Gordijn Sanne J, Kavanagh Kimberley, Murray Paul, Magee Laura A, Groen Henk, von Dadelszen Peter, Smith Gordon C
PLOS Medicine Vol 22 (2025)
https://doi.org/10.1371/journal.pmed.1004509
Machine learning-enabled maternal risk assessment for women with pre-eclampsia (the PIERS-ML model) : a modelling study
Montgomery-Csobán Tünde, Kavanagh Kimberley, Murray Paul, Robertson Chris, Barry Sarah J E, Ukah U Vivian, Payne Beth A, Nicolaides Kypros H, Syngelaki Argyro, Ionescu Olivia, Akolekar Ranjit, Hutcheon Jennifer A, Magee Laura A, von Dadelszen Peter
The Lancet Digital Health Vol 6, pp. E238-E250 (2024)
https://doi.org/10.1016/S2589-7500(23)00267-4

More publications

Back to staff profile

Professional Activities

SEEN: Opportunities with ICURe
Invited speaker
10/2/2026
Breaking the Mould: Embracing Dis/ability in Mathematics, Statistics and Life
Invited speaker
17/6/2025
Mathematics and Statistics Teaching Away Day
Participant
19/5/2025
PIERS model to predict adverse maternal outcomes in preeclampsia
Speaker
5/2025
Prediction of adverse maternal outcomes using longitudinal data with the PIERSdynamic model
Speaker
3/2025
Bristish Council Springboard Meeting
Participant
26/2/2025

More professional activities

Projects

ICURe Exploit - £16,000 business plan development
Csoban, Tunde (Co-investigator) von Dadelszen, Peter (Principal Investigator)
01-Jan-2026 - 30-Jan-2026
PIERSai Stephen Young Award - £50,000
Csoban, Tunde (Principal Investigator) Kavanagh, Kimberley (Co-investigator) Murray, Paul (Co-investigator) Lennon, Marilyn (Co-investigator) von Dadelszen, Peter (Co-investigator) Magee, Laura A. (Co-investigator) Singleton, Claire (Co-investigator)
Stephen Young Award for Outstanding Business Idea Research Paper towards commercialisation and software development activity for the PIERSai project
30-Jan-2026 - 29-Jan-2028
Vascutek/Terumo Sample Size
Csoban, Tunde (Principal Investigator) Stewart, Ryan (Co-investigator)
Framework on 190420
01-Jan-2026 - 23-Jan-2026
ICURe Explore - £35,000 market validation
Csoban, Tunde (Co-investigator) von Dadelszen, Peter (Principal Investigator)
ICURe Explore programme for the PIERSai project, lead by King's College London, with £35,000 towards market validation and commercialisation activity
14-Jan-2026 - 17-Jan-2026
Cervical Screening Workload
Kavanagh, Kimberley (Principal Investigator) Csoban, Tunde (Co-investigator)
01-Jan-2025 - 30-Jan-2026
ICURe Discover programme travel award £2,500
Csoban, Tunde (Principal Investigator)
25-Jan-2025 - 04-Jan-2025

More projects

Back to staff profile

Contact

Dr Tunde Csoban
Teaching Fellow
Mathematics and Statistics

Email: tunde.csoban@strath.ac.uk
Tel: 548 3804