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

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
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, pp. 1-10 (2026)
https://doi.org/10.1161/HYPERTENSIONAHA.126.27270
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

Vascutek/Terumo Sample Size
Csoban, Tunde (Principal Investigator) Stewart, Ryan (Co-investigator)
Framework on 190420
01-Jan-2026 - 01-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
Interrupted time series analysis of antidepressant prescriptions in Scotland
Halliday, Simon (Principal Investigator) Csoban, Tunde (Researcher)
01-Jan-2025 - 01-Jan-2025
Exploring education outcomes and their association with deprivation and other equality characteristics
Kelly, Louise (Principal Investigator) Csoban, Tunde (Co-investigator) Stewart, Ryan (Co-investigator) Burns, Nathan (Researcher) Kirkpatrick, Ryan (Researcher)
01-Jan-2024 - 31-Jan-2026
Cancer Medicines Outcomes Programme Interim 23-24
Bennie, Marion (Principal Investigator) Kurdi, Amanj (Co-investigator) Kavanagh, Kimberley (Co-investigator) Mueller, Tanja (Co-investigator) Dunlop, Emma (Principal Investigator) Fontes, Pedro (Researcher) Csoban, Tunde (Researcher)
Continuation of funding for the CMOP programme for 23-24
01-Jan-2023 - 31-Jan-2024

More projects

Back to staff profile

Contact

Dr Tunde Csoban
Teaching Fellow
Mathematics and Statistics

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