According to the Canadian Mental Health Association, in any given year, 1 in 5 people in Canada will personally experience a mental health problem or illness and by age 40, about 50% of the population will have or have had a mental illness. How might advances in precision health change how we address mental health problems? Dr. Bo “Cloud” Cao research interests include developing tools to enable personalized diagnosis and treatment for mental disorders, brain development and aging as well as neuromodulation and neurofeedback. We talk about the brain and the new, quantitative approaches to psychiatry made possible because of big data, the tools he’s developing to support the personalization of mental health treatments, the ethical use of data, how he addresses missing or lack of data in underrepresented populations and the importance of being part of an interdisciplinary team in order to develop real world solutions. “Computational psychiatry…involves the use of more and more data from all modalities – imaging, genetics, medical records…all of this allow us to apply machine learning to the field of psychiatry. We can now investigate problems in new ways – it’s no longer just about doing one clinical trial.” – Bo “Cloud” Cao Dr. Bo Cao is an assistant professor and Canada Research Chair (CRC; Tier 2) in Computational Psychiatry at the Department of Psychiatry, University of Alberta (UAlberta). Trained in mathematics (BSc), psychology (MSc), computational neuroscience (PhD), neuroimaging and psychiatry (postdoc), Dr. Cao has a strong passion for understanding the fundamental mechanisms of how the brain works and how to cure the brain when the mechanisms are disturbed. Dr. Cao’s main research interests are computational psychiatry and precision medicine in mental health, brain development and aging, general aging, and neuromodulation and neurofeedback.