I am a physician and clinical epidemiologist with a strong interest in understanding how we can use real-world data to improve care, particularly in women’s health. I currently work as a postdoctoral researcher at the Norwegian Centre for Headache Research (NorHead) at the University of Bergen, where my research focuses on migraine, medication safety, and health outcomes across the life course.

My work brings together large-scale health registry data, causal inference methods, and emerging machine learning approaches to better understand how treatments perform outside of clinical trials. I am especially interested in questions where evidence is limited, such as the safety of medications during pregnancy and the perinatal period, and how we can generate reliable data to support both clinicians and patients in making informed decisions.

I am motivated by a long-standing commitment to reducing gaps in care for underserved populations and to translating complex data into meaningful, actionable evidence. I enjoy working in collaborative, interdisciplinary environments and contributing to research that has the potential to shape clinical practice and public health. My goal is to build research that is both methodologically rigorous and grounded in real-world impact

• Danelakis, A., Storvig, G., Bjørk, M. H., Contreras, D., Matharu, M., Nachev, P., Winsvold, B. S., Tronvik, E., Stubberud, A., & Olsen, A. (2026). Foundation model forecasting of headache days after mild traumatic brain injury in people with persisting post-concussion symptoms. Journal of Head Trauma Rehabilitation. Advance online publication. https://doi.org/10.1097/HTR.0000000000001206 (external link)

   

• Møen, E. N., Bjørk, M.-H., Gilhus, N. E., Daltveit, D. S., Contreras, D., Hagen, K., Jayaraman, M., Khanevski, A. N., Wergeland, T., Stubberud, A., Matharu, M., Tronvik, E. A., & Igland, J. (2026). The prevalence and incidence of cluster headache: A Norwegian registry-based time-trend study. Neurology, 106(11), e214862. https://doi.org/10.1212/WNL.0000000000214862&nbsp (external link);

   

• Møen, E. N., Bjørk, M.-H., Gilhus, N. E., Daltveit, D. S., Contreras, D., Hagen, K., Jayaraman, M., Khanevski, A. N., Wergeland, T., Stubberud, A., Matharu, M., Tronvik, E. A., & Igland, J. (2026). Cluster headache and comorbidities, income and education: A nationwide registry-based matched cohort study. Cephalalgia, 46(3), 3331024261428583. https://doi.org/10.1177/03331024261428583&nbsp (external link);

   

• Denova-Gutiérrez, E., Rivera-Paredez, B., Quezada-Sánchez, A. D., Chávez-Tapia, N., Muñoz-Aguirre, P., Armenta-Guirado, B., Contreras, D., Flores, Y. N., Velázquez-Cruz, R., & Salmerón, J. (2026). Risk score to predict fibrosis among Mexican adults: Results of the Health Workers Cohort Study. Frontiers in Medicine, 13, 1699322. https://doi.org/10.3389/fmed.2026.1699322 (external link)

• GBD 2023 Headache Collaborators, including Contreras, D. (2025). Global, regional, and national burden of headache disorders, 1990–2023: A systematic analysis for the Global Burden of Disease Study 2023. The Lancet Neurology, 24(12), 1005–1015. https://doi.org/10.1016/S1474-4422(25)00402-8 (external link).

• GBD Fatty Liver Disease Sustainable Development Goal Collaborators, including Contreras, D. (2023). The global fatty liver disease Sustainable Development Goal country score for 195 countries and territories. Hepatology, 78(3), 911–928. https://doi.org/10.1097/HEP.0000000000000361&nbsp (external link);

   

• GBD 2021 Diabetes Collaborators, including Contreras, D. (2023). Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: A systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 402(10397), 203–234. https://doi.org/10.1016/S0140-6736(23)01301-6 (external link)

   

• Clark, P., Contreras, D., Ríos-Blancas, M. J., Steinmetz, J. D., Ong, L., Culbreth, G. T., Lenox, H., Mendoza, C. F., & Razo, C. (2023). Analysis of musculoskeletal disorders-associated disability in Mexico from 1990 to 2021. Gaceta Médica de México, 159, 517–526. https://doi.org/10.24875/GMM.M24000831&nbsp (external link);

   

• Contreras, D., González-Rocha, A., Clark, P., Barquera, S., & Denova-Gutiérrez, E. (2023). Diagnostic accuracy of blood biomarkers and non-invasive scores for the diagnosis of NAFLD and NASH: Systematic review and meta-analysis. Annals of Hepatology, 28(1), 100873. https://doi.org/10.1016/j.aohep.2022.100873 (external link).