Research
Products
Oura Ring for Substance Use Disorders
Exploring the feasibility of predicting substance use disorder treatment outcomes by combining continual physiological measures in naturalistic settings with clinical data.
Anna Mouzenian
—September 2024
A Cell Type Specific Transcriptome-Based Polygenic Risk Score for Major Depressive Disorder
Cell type specific tPRS for MDD in adolescents
Megan Ding
—September 2024
An Exploration of Shared Genetic Etiology Between Major Depression and Posttraumatic Stress Disorder
Using genomic SEM, I will explore the genetic overlap between major depressive disorder and posttraumatic stress disorder symptomatology to visualize their genetic similarities and differences.
Ashley Moo-Choy
—May 2024
Interplay Between Genetics and Prenatal Pollution on Child Brain and Cognitive Development
Our study aims to investigate the interaction between genetic risk for four neurodevelopmental and psychiatric disorders and prenatal air pollution exposure on child cognition, behavior, and brain development.
Melissa Misztal
—November 2023
Differential Correlates of Suicidal Behaviour, Non-Suicidal Self-Injury and Their Combination in a Clinical Sample of Transitional-Aged Youth. A Cross-Sectional Case-Control Study
This exploratory analysis aims to characterize the TAY Cohort regarding differential categories of self-injurious thoughts and behaviours using clinical, demographic, and lifestyle factors of treatment-seeking youth in Toronto. Using a series of multivariable linear models, we compare different contrasts of SITB to identify unique and overlapping associations with a suite of measures collected at baseline.
Earvin S. Tio
—September 2023
Investigation of Sex- and Age-Specific Effects of Genetic Risk for Depression on Peripheral Biomarkers
We indexed genetic risk for depression using polygenic risk scores and associated these scores with various circulating biomarkers to identify candidate biomarkers for depression. We then built complex linear models with a focus on age and sex effects to examine differences across human characteristcs and the human lifespan.
Earvin S. Tio
—November 2022
Pilot Analysis of Semi-Supervised Biopsychosocial Subtyping in Psychiatric Treatment-Seeking Youth
The use of meta association-boosted similarity network fusion to identify groupings enriched for psychosis spectrum symptoms.
Denise Sabac
—September 2022
A Transcriptomic Signature for Late-Life Depression
Using linear modeling and differential expression analysis I have defined transcriptomic and pathway signatures that are significantly associated with depressive symptoms in late-life.
Stuart Matan-Lithwick
—September 2022
Whole Person Modeling of Adolescent Psychosis
I use machine learning to characterize the biopsychosocial measures associated with youth psychosis and better understand ther combined effects in confering risk and resilience
Akshay Mohan
—May 2022
Exploration of the Biopsychosocial Mechanisms of Suicidal Ideation Using a Whole-Person Approach
We applied an iterative modelling approach with different domains of data to fit machine learning models to self-reported self-injurious thoughts and behaviours (SITB) to evaluate the impact of each bio- psycho- and social- input features. We then applied post-hoc feature importance analyses to understand the stability and robustness of relative risk factors for SITB.
Earvin S. Tio
—January 2022
Shared Neural Signature Between Sleep, Cognition, and Depression
How do brain dynamics change in association with sleep habits, cognitive abilites, and depression symptoms
Mohamed Abdelhack
—July 2021