Whole

Whole Person and Population Modeling

Earvin Tio is a graduate student with the Institute of Medical Science and a member of the Collaborative Program in Neuroscience. His research focuses on uncovering neuroimmune mechanisms that underlie suicidal ideation by leveraging large cohort studies and machine learning.

​Earvin graduated from the University of Waterloo with a Bachelor of Applied Science in Systems Design Engineering and a specialization in Artificial Intelligence. During his undergraduate studies, Earvin also had the opportunity to study abroad in Switzerland at the École polytechnique fédérale de Lausanne, studying computer science.

Earvin is passionate about destigmatizing mental illness. He actively works with GradMinds, the University of Toronto's graduate student mental health committee, regularly contributes to Elemental Magazine, the University of Toronto's official mental health magazine, and with Let's Talk Grad Wellness, a student-ran wellness initiative.

Investigation of Sex- and Age-Specific Effects of Genetic Risk for Depression on Peripheral Biomarkers