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Umeå University
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Kushan Kumara De Silva Ranakombu

Postdoctoral fellow in molecular epidemiology and biostatistics at Department of Diagnostics and Intervention, Umeå University.

0000-0003-0301-0805

Contact

E-mail
kushan.ranakombu@umu.se

Works as

Affiliation
Other position at Department of Diagnostics and Intervention
Location
5A, Målpunkt H62, Norrlands universitetssjukhus Umeå universitet, 901 85 Umeå

My main work is in the NorthPop Study - a prospective birth cohort in Northern Sweden, exploring the pregnancy exposome and its impact on later life health outcomes, including the role of pollutome and epigenetics.

Educational Qualifications:

1. PhD (2019-2022), Monash University, Australia

2. MPH (2016-2018), Lund University, Sweden

3. MSc (2014 - 2015), University of Colombo, Sri Lanka

4. Dentistry (2005 - 2010), University of Peradeniya, Sri Lanka

Blood-based inflammatory markers in female infertility: evidence from Mendelian randomization analysis
F and S Science, Elsevier 2025, Vol. 6, (1) : 85-98
Alesi, Simon; Teede, Helena; Enticott, Joanne; et al.
Epigenetic mediation may explain intergenerational associations between maternal obesogenic lifestyle and children's birth weight: findings from the NorthPop prospective birth cohort
Clinical Epigenetics, BioMed Central (BMC) 2025, Vol. 17, (1)
De Silva, Kushan; Lundberg Ulfsdotter, Richard; Bodén, Stina; et al.
Exploring the acceptability of a risk prediction tool for cardiometabolic risk (gestational diabetes and hypertensive disorders of pregnancy) for use in early pregnancy: a qualitative study
Midwifery, Elsevier 2025, Vol. 141
Lang, Sarah; McIntosh, Jennifer G.; Enticott, Joanne; et al.
Exploring causal associations between serum inflammatory markers and female reproductive disorders: a Mendelian randomisation study
Biomolecules, MDPI 2024, Vol. 14, (12)
Alesi, Simon; Teede, Helena; Moran, Lisa; et al.
Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population: the Monash GDM Machine learning model
International Journal of Medical Informatics, Elsevier 2023, Vol. 179
Belsti, Yitayeh; Moran, Lisa; Du, Lan; et al.
Temporal validation and updating of a prediction model for the diagnosis of gestational diabetes mellitus
Journal of Clinical Epidemiology, Elsevier 2023, Vol. 164 : 54-64
Cooray, Shamil D.; De Silva Ranakombu, Kushan Kumara; Enticott, Joanne C.; et al.
View publications in DiVA