Sage has worked three years on her thesis, titled "Endotypes of hypertensive disorders of pregnancy across lifetime reproductive history and cardiometabolic outcomes." In this thesis, Sage has leveraged the rich data from the Medical Birth registry of Norway to investigate previously overlooked patterns in hypertensive disorders of pregnancy. She has been mentored by Rolv Skjærven and Liv Grimstvedt Kvalvik, PI and senior staff in the HealthierWomen Project. The novelty of the HealthierWomen project is the focus on maternal data and the mother as the unit of analysis, rather than births-based data. This paradigm shift has unlocked new analytical possibilities, including the work in Sage's thesis. She is first author on three papers about maternal outcomes after hypertensive disorders of pregnancy, focusing on order and number of complicated pregnancies, the interactive effect between gestational age and birthweight, and gestational diabetes mellitus. She has additional authorship on other papers in the project concerning intergenerational risk of CVD after hypertensive disorders of pregnancy.

Prior to her PhD stipend at the university, Sage conducted research at Duke Kunshan University focused on global maternal and child health. She was involved in projects on antenatal depression in Sri Lanka, and C-section and tuberculosis in Indonesia. This research was a part of her master's thesis work and research assistant position. These works considered the link between chronic cardiometabolic diseases, socioeconomic status, and maternal health during pregnancy. Sage's background has given her a focus on public health and community-based research which continues to inform her work.

Sage has published articles in multiple internationally recognized journals, in addition to lay dissemination at UiB. Her work for the HealthierWomen project has also been publicized by news sites and blogs.

Heterogeneity in the risk of cardiovascular disease mortality after the hypertensive disorders of pregnancy across mothers' lifetime reproductive history. S Wyatt, LG Kvalvik, A Singh, K Klungsøyr, T Østbye, R Skjærven. Paediatric and Perinatal Epidemiology 38 (3), 230-237

Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study. S Wyatt, D Lunde Markussen, M Haizoune, AS Vestbø, YT Sima, M Sandboe, M Landschulze, H Bartsch, C Sauer. Journal of Medical Internet Research 26, e56382

Factors affecting time to treatment initiation after diagnosis for multidrug‐resistant/rifampicin‐resistant tuberculosis patients: A mixed‐methods study in Jakarta, Indonesia. P Silitonga, W Jiang, S Wyatt, E Burhan, EFM Kes, Q Long. Tropical Medicine & International Health 28 (1), 43-52

Antenatal depression in Sri Lanka: a qualitative study of public health midwives’ views and practices. S Wyatt, T Ostbye, V De Silva, Q Long. Reproductive health 19 (1), 23

Predictors and occurrence of antenatal depressive symptoms in Galle, Sri Lanka: a mixed-methods cross-sectional study. S Wyatt, T Ostbye, V De Silva, P Lakmali, Q Long. BMC Pregnancy and Childbirth 21, 1-13

Socioeconomic, geographic and health system factors associated with rising C-section rate in Indonesia: a cross-sectional study using the Indonesian demographic and health surveys from 1998 to 2017. S Wyatt, PII Silitonga, E Febriani, Q Long. BMJ open 11 (5), e045592