Draft:Azadeh Kushki
Submission declined on 9 December 2025 by Grumpylawnchair (talk).
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Submission declined on 18 November 2025 by Bobby Cohn (talk). This draft lacks inline citations. Wikipedia's verifiability policy requires that all content be supported by reliable sources. We require inline citations (footnotes) to show which source supports which specific statement.
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Comment: Sources are not sufficiently WP:INDEPENDENT of the subject. Grumpylawnchair (talk) 19:50, 9 December 2025 (UTC)
Comment: External links can be a part of citations, and a few relevant ones can be put into an External Links section at the end, but they should not be inserted into the body text of an article. TornadoLGS (talk) 20:04, 18 November 2025 (UTC)
Azadeh Kushki is the Associate Chief of Data Science at Bloorview Research Institute at the Holland Bloorview Kids Rehabilitation Hospital[1]. She is a Tier 2 Canada Research Chair in Neurodiversity and Personalized Health[2].
Early Life and Education
Kushki completed her BASc in Computer Engineering at the University of Toronto.[1]. There, she also obtained both her MASc and PhD (2008) in Electrical and Computer Engineering. She completed postdoctoral fellowships with 3 different labs: both the Autism Research Centre and the PRISM Lab at the Bloorview Research Institute and the Cognitive Systems Laboratory at McMaster University[1].
Career
Kushki started her academic career in 2012 as a Scientist at the Autism Research Centre at the Bloorview Research Institute[1]. She obtained her first faculty appointment 2 years later in the Institute of Biomedical Engineering at the University of Toronto[3]. In 2020, she advanced to Senior Scientist and Associate Professor within those institutions, respectively. In October 2023, Kushki was named Associate Chief of Data Science at the Bloorview Research Institute[2].
Research
Kushki’s research aims to advance precision health for neurodivergent children, including those with neurodevelopmental conditions like ADHD and autism[4]. Kushki and her research team research investigate biological similarities among children, how different environmental factors affect distress, and how individual children respond to medications[4]. They use data science, artificial intelligence, and wearable technology to study these aspects, creating tailored interventions and individualized care for neurodivergent children[4].
In 2019, Kushki and her team developed a wearable technology tool, Anxiety Meter. The tool tracks changes in a person’s emotional arousal, such as anxiety levels, using heart rate and translates this into a visual display. The technology uses smart watches and fitness trackers to collect information. Data can be displayed to the person and/or caregivers to help deescalate arousal levels[5]. The algorithm for the tool is patented and has been developed into an app called hollyTM available on wearable devices[6].
In 2023, introduced groudbreaking research that found that children with similar brain biology (measured by neuroimaging) exhibit similar behaviours while having different clinical diagnoses of neurodevelopmental conditions[7]. These findings challenges current understanding that similar brain function ought to map to similar diagnoses. This research may impact how children with such conditions are diagnosed and treated, opening the door for more routine brain imaging in guiding their care[8]
Awards
In November 2024, Kushki was awarded a Tier 2 Canada Research Chair in Neurodiversity and Personalized Health.
References
- ^ a b c d "Azadeh Kushki, PhD". Holland Bloorview. Retrieved 2025-11-18.
- ^ a b "Azadeh Kushki named Associate Chief of Data Science". Holland Bloorview. 2023-10-30. Retrieved 2025-11-18.
- ^ Khushki, Azadeh. "LinkedIn".
- ^ a b c "Neurodiversity and Personalized Health Lab". Holland Bloorview. Retrieved 2025-11-18.
- ^ "Empowering kids with autism with the help of wearable tech". Holland Bloorview. 2020-10-02. Retrieved 2025-11-18.
- ^ "holly™ - a wearable technology to empower emotion regulation". Holland Bloorview. Retrieved 2025-11-18.
- ^ Azadeh, Kushki (March 13, 2023). "Identifying Replicable Subgroups in Neurodevelopmental Conditions Using Resting-State Functional Magnetic Resonance Imaging Data". JAMA Network. 3.
- ^ "Kids with similar brain function don't share the same clinical diagnoses". Holland Bloorview. 2023-03-21. Retrieved 2025-11-18.
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