Novel Scientific Research
Four machine learning methods are tested in analyzing stress progressions. Support Vector Machine (SVM) model demonstrated the best accuracy in detecting stress.
Published research paper on IEEE Xplore Journal as sole author.
Presented at 2023 IEEE MIT Undergraduate Research Technology Conference.
Won 1st place 2024 NJ Junior Science & Humanities Symposium (JSHS) in Medicine & Health Category; alternate on national team.
Won 3rd place 2024 Terra NJ STEM Fair in Bioinformatics & Computational Biology Category.
Business Innovation
MentalMetrics is wearable wristband that collects baseline electrodermal activity (EDA) and alerts when stress trends are concerning. It uses machine learning algorithms to analyze EDA data real-time for stress monitor and depression tracking.
2024 BIG Idea Business Competition winner in Wellness Category.
Community Support
Self-Thought is a mental health platform created by teens for teens. We utilize short-form video content to promote wellness and wellbeing.
Through research, innovation, and advocacy, we focus on interdisciplinary solutions to empower teens in overcoming mental health challenges. Together, we’re shaping the future of adolescent mental wellness.
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BIG Idea Winner 2023
