Earvin S. Tio, PhD

PhD in Medical Science (Neuroscience) from the University of Toronto
BASc in Systems Design Engineering (Artificial Intelligence) from the University of Waterloo

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As a postdoctoral fellow at the Whole Person & Population Modelling Lab, I lead the predictive modelling efforts for an NIH-funded grant investigating treatment-resistant late-life depression. I also work with biobank-scale datasets to develop biopsychosocial machine learning models of suicide-related phenotypes.

My research focuses on understanding psychopathology in relation to suicide and sociodemographic factors, particularly among transitional-aged youth. I am passionate about advancing this work and am actively seeking postdoctoral opportunities where I can continue conducting impactful, interdisciplinary research.

Select Publications

  1. Evidence for the biopsychosocial model of suicide: a review of whole person modeling studies using machine learning
    Earvin S. Tio, Melissa C. Misztal , and Daniel Felsky
    Frontiers in Psychiatry, Jan 2024
    Publisher: Frontiers
  2. JAD
    Testing a Polygenic Risk Score for Morphological Microglial Activation in Alzheimer’s Disease and Aging
    Earvin S. Tio, Timothy J. Hohman , Milos Milic , and 2 more authors
    Journal of Alzheimer’s Disease, Jan 2023
    Publisher: IOS Press