1. Mayer, C., Walch, O., Dempsey, W., Hannay, K., Clingan, C., Bowen, Z., ... & Choi, S. W. (2025). A circadian and app-based personalized lighting intervention for the reduction of cancer-related fatigue. Cell Reports Medicine, 6(3).
2. Coyne, P., Jennings, M. B., Santarossa, S., Murphy, D., Zreik, M., Bryans, H., Drake, C., Walch, O., & Cheng, P. (2025). Using night shift worker and employee health stakeholder perspectives to inform the development of Arcashift(TM), a digital precision circadian medicine intervention for shift work disorder. BMC Digital Health, 3(1), 25.
3. Walch, O., et al. (2025). Beyond phase shifting: targeting circadian amplitude for light interventions in humans. Sleep, 48(1), zsae247.
4. Laubenbacher, R., Fonseca, L., & Walch, O. (2026). Digital twins are a key enabling technology for personalized medicine. Bulletin of Mathematical Biology, 88(2), 17.
5. Gonzalez-Aponte, M. F., Huang, Y., Leidig, W. A., Simon, T., Butt, O. H., Ruben, M. D., ... & Walch, O. J. (2026). Circadian variation in MGMT promoter methylation and expression predicts sensitivity to temozolomide in glioblastoma. Journal of Neuro-Oncology, 176(1), 1-13.
6. Gonzalez-Aponte, M. F., Damato, A. R., Katumba, R. G., Talcott, G. R., Campian, J. L., Butt, O. H., ... & Walch, O. J. (2025). Tracking daily variations in rest-wake to guide personalized timing of temozolomide for high-grade glioma patients. Journal of Biological Rhythms, 40(4), 320-329.
7. Walch, O. (2020). Putting it all together: Connecting mobile technology to systems biology. Current Opinion in Systems Biology, 22, 16-21.
8. Smith, D. F., Ruben, M. D., Francey, L. J., Walch, O. J., & Hogenesch, J. B. (2019). When should you take your medicines? Journal of Biological Rhythms, 34(6), 582-583.
9. Huang, Y., Mayer, C., Cheng, P., Siddula, A., Burgess, H. J., Drake, C., ... & Forger, D. B. (2021). Predicting circadian phase across populations: a comparison of mathematical models and wearable devices. Sleep, 44(10), zsab126.
10. Huang, Y., Mayer, C., Walch, O. J., Bowman, C., Sen, S., Goldstein, C., ... & Forger, D. B. (2021). Distinct circadian assessments from wearable data reveal social distancing promoted internal desynchrony between circadian markers. Frontiers in Digital Health, 155.
11. Cheng, P., Walch, O., Huang, Y., Mayer, C., Sagong, C., Cuamatzi Castelan, A., ... & Drake, C. L. (2021). Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers. Sleep, 44(2), zsaa180.
12. Walch, O., Huang, Y., Forger, D., & Goldstein, C. (2019). Sleep stage prediction with raw acceleration and photoplethysmography heart rate data derived from a consumer wearable device. Sleep, 42(12), zsz180.
13. Moreno, J. P., Hannay, K. M., Walch, O., Dadabhoy, H., Christian, J., Puyau, M., ... & Cheng, P. (2022). Estimating circadian phase in elementary school children: Leveraging advances in physiologically-informed models of circadian entrainment and wearable devices. Sleep.
14. Walch, O. J., Cochran, A., & Forger, D. B. (2016). A global quantification of "normal" sleep schedules using smartphone data. Science Advances, 2(5), e1501705.
15. Complete list of published work:
https://www.ncbi.nlm.nih.gov/myncbi/olivia.walch.1/bibliography/public/
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