Welcome to Dr. Azadeh Kushki's lab page
- Dr. Azadeh Kushki named Associate Chief of Data Science
- Dr. Azadeh Kushki receives CIHR grant!
- Project: Predicting medication usage for autistic children using machine learning. 2024-2025
- Check out our newest publications!
- F. Morgado et al., 2024; Behaviour-correlated profiles of cerebellar-cerebral functional connectivity observed in independent neurodevelopmental disorder cohorts
- M. Mahjoob et al., 2024; Predictors of health-related quality of life for children with neurodevelopmental conditions
- M. Mahjoob et al., 2024; Predictors of Health-Related Quality of Life in Neurodivergent Children: A Systematic Review
Research Focus:
Dr. Kushki's research focuses on advancing personalized health for children with neurodevelopmental differences and disabilities. This is an approach to care where interventions and accommodations are informed by each individual’s biology and environmental context. Our existing diagnostic labels for neurodevelopment conditions, including autism and ADHD, are broad and encompass diverse sets of biologies, phenotypes, and experiences of distress. These labels lack precision to guide interventions and care suited to an individual’s uniqueness. In this context, our work includes using data science to understand individual biological and environmental characteristics that drive trajectories, responses to interventions, and long-term outcomes.
Characterizing Autism
Meet the staff and students
Scientist
Dr. Azadeh Kushki's research focuses on development of novel pattern recognition and machine learning techniques for analysis of biological and behavioural data in autism spectrum disorder (ASD) and related neurodevelopmental conditions. The goal of this research is to improve our understanding of the neurobiological correlates ASD, and better characterize the variability in the spectrum.
Dr. Kushki also designs technologies that improve the quality of life and care for children with autism spectrum disorders (ASD), respect the uniqueness of children with ASD, and make evidence-based treatments accessible to a larger and more diverse population.
Links:
- Please click here to learn more about Dr. Azadeh Kushki's education background and more.
- Azadeh Kushki, Associate Professor, University of Toronto - Institute of Biomedical Engineering Faculty
Research Staff
- Tithi Paul, Research Coordinator
- Harshit Bokadia, Research Engineer
- Julia Carbone, Research Assistant
- Aleena Walji, Project Coordinator
Current Trainees
- Marlee Vandewouw, PhD Candidate
- Younes Sadat-Nejad, PhD Candidate
- Eric Wan, PhD Candidate
- Azadeh Aghamohammadi Sereshki, MASc Candidate
- Sara Alatrash, MASc Candidate
Below are some of our publications.
Find more of our published work with Dr. Kushki on Google Scholar.
* denotes trainees.
P. Ahmadian*, R. E. Cardy*, A. Kuhski. (2024). Usability of an Augmented Reality Bedtime Routine Application for Children with Autism Spectrum Disorder. Assistive Technology.
F. Morgado, M. Vandewouw*, C. Hammill, E. Kelley, J. Crosbie, R. Schachar, M. Ayub, R. Nicolson, S. Georgiades, P. Arnold, A. Iaboni, A. Kushki, M. Taylor, E. Anagnostou, and J. Lerch. (2024). Behaviour-Correlated Profiles of Cerebellar-Cerebral Functional Connectivity Observed in Independent Neurodevelopmental Disorder Cohorts. Translational Psychiatry.
M. Mahjoob*, R. E. Cardy*, M. Penner, E. Anagnostou, B.F. Andrade, J. Crosbie, E. Kelley, M. Ayub,
J. Brian, A. Iaboni, R. Schachar, S. Georgiades, R. Nicolson, J. Jones, A. Kushki. (2024). Predictors of Health-Related Quality of Life for Children with Neurodevelopmental Conditions. Scientific Reports.M. Mahjoob*, T. Paul*, J. Carbone*, H. Bokadia*, R. E. Cardy*, S. Kassam*, E. Anagnostou, B. Andrade, M. Penner, and A. Kushki. (2024). Predictors of Health-Related Quality of Life in Neurodivergent Children: A Systematic Review.Clinical Child and Family Psychology Review.
Y. Sadat-Nejad*, M. M. Vandewouw*, R. E. Cardy*, J. Lerch, M. Taylor, A. Iaboni, C. Hammill, B. Syed, J. A. Brian, E. Kelley, M. Ayub, J. Crosbie, R. Schachar, S. Georgiades, R. Nicolson, E. Anagnostou, and A. Kushki. (2023). Investigating heterogeneity across ASD, ADHD, and Typically Development Using Measures of Cortical Thickness, Surface Area, Cortical/Subcortical Volume, and Structural Covariance. Frontiers in Child and Adolescent Psychiatry.
M. Susko, V. L. Armstrong, J. A. Brian, S. E. Bryson, A. Kushki, L. R. Sacrey, L. Zwaigenbaum, I. M. Smith (2023) Behavioural Reactions to an Emotion-Evoking Task in Infants at Increased Likelihood for Autism Spectrum Disorder. Infant Behavior and Development.
M. M. Vandewouw*, J. Brian, J. Crosbie, R. J. Schachar, A. Iaboni, S. Georgiades, R. Nicolson, E. Kelley, M. Ayub, J. Jones, M. J. Taylor, J. P. Lerch, E. Anagnostou, and A. Kushki. (2023). Identifying replicable subgroups in ASD, ADHD and OCD: resting-state fMRI data from the Province of Ontario Neurodevelopmental and Healthy Brain Networks. JAMA Open Network.
R. Cardy*, C. Smith*, H. Suganthan*, Z. Jiang*, B. Wang*, M. Malihi*, E. Anagnostou, A. Kushki. (2023). Patterns and Impact of Technology Use in Autistic Children. Research in Autism Spectrum Disorders.
B. Trost, B. Thiruvahindrapuram, A.J.S. Chan, W. Engchuan, E. J. Higginbotham, J. L Howe, L. O. Loureiro, M. S. Reuter et. al. (2022). Genomic architecture of Autism Spectrum Disorder from comprehensive whole-genome sequence annotation. Cell.
L. R. Sacrey, S. Raza, V. Armstrong, J. A. Brian, A, Kushki, I. M. Smith, L. Zwaigenbaum. (2022). Physiological Measurement of Emotion from Infancy to Preschool: A Systematic Review and Meta- Analysis. Brain and Behaviour.
J. Nguyen*, R. E. Cardy*, E. Anagnostou, J. Brian & A. Kushki. (2021). Examining the effect of a wearable, anxiety detection technology on improving the awareness of anxiety signs in autism spectrum disorder: a pilot randomized controlled trial. Molecular Autism
A.Kushki, R. Cardy*, S. Panahandeh*, M. Malihi*, C. Hammill, J. Brian, A. Iaboni, M. Taylor, R. Schachar, J. Crosbie, P. Arnold, E. Kelley, M. Ayub, R. Nicolson, S. Georgiades, J. Lerch, E. Anagnostou. (2021). Cross-Diagnosis Structural Correlates of Social Communication Difficulties in ASD, ADHD, and OCD: Data- Driven Analysis of POND Network Data. Cerebral Cortex.
