Helen Coupland
Post Docs
Contact
- Position:
- Post Doc
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Dept. Neurology and Neurobiology Research Unit,
Copenhagen University Hospital, Rigshospitalet,
Building 8057,
Blegdamsvej 9, DK-2100 Copenhagen, Denmark -
This email address is being protected from spambots. You need JavaScript enabled to view it.
Curriculum vitae
- Curriculum vitae
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Scientific interests
Public health, mental health, life course epidemiology, deep learning, time series modelling, applied AI, lived experience, risk factors and health inequalities.
Biography
2025 -
Postdoctoral Researcher at the Neurobiology Research Unit
2024 - 2025
Postdoctoral Researcher at Health Data Science & AI (HDSAI) Research Unit, University of Copenhagen
2019 - 2024
PhD Student in the Depertmental of Infectious Diseases, Imperial College London
Publications
Coupland H, Scheidwasser N, Katsiferis A, et al. Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis. BMC Public Health, 2025.
Silhol R, Coupland H, Baggaley R, et al. What is the burden of heterosexually qquired HIV due to HSV-2? Global and regional model-based estimates of the proportion and number of HIV infections attributable to HSV-2 infection. JAIDS Journal of Acquired Immune Deficiency Syndromes, 2021.
Unwin H, Mishra S, Bradley V, Gandy A, Mellan T, Coupland H, et al. State-level tracking of COVID-19 in the United States. Nature Communications, 2020.
Flaxman S, Mishra S, Gandy A, Unwin H, Mellan T, Coupland H, et al. Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe. Nature, 2020.
Milton P, Coupland H, Giorgi E & Bhatt S. Spatial analysis made easy with linear regression and kernels. Epidemic, 2019.
Awards
2019 – Dean’s Prize for Epidemiology
2018 – Wellcome Trust Doctoral Studentship