Accessibility Skip to Global Navigation Skip to Local Navigation Skip to Content Skip to Search Skip to Site Map Menu

Pharmacy staff profile

Associate Professor Bruce Russell

PositionAssociate Professor in Clinical Pharmacy
QualificationsBPharm(Hons) PhD
Research summaryBiomarkers that enable the prediction of a response to treatment for severe mental health disorders
TeachingI coordinate and teach into the postgraduate paper, Pharmacy 523 and teach clinical pharmacy to third and fourth year students
  • Member of the Schizophrenia International Research Society (SIRS)
  • Member of the College of Problems on Drug Dependence, USA
  • Member of the Pharmaceutical Society of New Zealand
ClinicalThe majority of my research is with patients so I regularly engage with service user groups and enjoy talking to carers and clinical staff whenever possible.


My research focuses on investigating the psychopharmacology and underlying pathophysiology of the severe mental illnesses such as schizophrenia with an emphasis on treatment-resistance. I aim to discover biomarkers that will enable the prediction of an individual's response to drug treatment. I also have an active interest in the psychopharmacology of both new and 'old' recreationally used drugs and the mechanisms underlying drug addiction.

Associate Professor Bruce Russell on Google Scholar


Sengupta, N., McNabb, C. B., Kasabov, N., & Russell, B. R. (2018). Integrating space, time, and orientation in spiking neural networks: A case study on multimodal brain data modeling. IEEE Transactions on Neural Networks & Learning Systems. Advance online publication. doi: 10.1109/TNNLS.2018.2796023

Ram, S., Hussainy, S., Henning, M., Stewart, K., Jensen, M., & Russell, B. (2017). Attitudes toward cognitive enhancer use among New Zealand tertiary students. Substance Use & Misuse, 52(11), 1387-1392. doi: 10.1080/10826084.2017.1281313

McIntosh, H. D., Russell, B. R., Cochran, J. R., & Sollers, III, J. J. (2017). The heart of the pressor effect: Acute caffeine ingestion and resting heart rate variability. Journal of Caffeine Research, 7(1), 23-30. doi: 10.1089/jcr.2016.0003

McNabb, C. B., Tait, R. J., McIlwain, M. E., Anderson, V. M., Suckling, J., Kydd, R. R., & Russell, B. R. (2017). Functional network dysconnectivity as a biomarker of treatment resistance in schizophrenia. Schizophrenia Research. Advance online publication. doi: 10.1016/j.schres.2017.10.015

Doborjeh, M. G., Wang, G. Y., Kasabov, N. K., Kydd, R., & Russell, B. (2016). A spiking neural network methodology and system for learning and comparative analysis of EEG data from healthy versus addiction treated versus addiction not treated subjects. IEEE Transactions on Biomedical Engineering, 63(9), 1830-1841. doi: 10.1109/TBME.2015.2503400