Affective Science › Adolescent Mood Disorders & Digital Phenotyping
Circadian Disruption Markers and Mood Disorder Risk Stratification
This investigation uses passive sensor data from smartphones and wearables to quantify sleep-wake cycle irregularities and their mechanistic links to adolescent anxiety and depression onset. The research identifies early circadian phenotypes that stratify risk for developing clinical mood disorders.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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