mental health innovation lab
A student-led multidisciplinary consortium of innovative solutions to the youth mental health crisis
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The Manifesto: We are tech-oriented mental health advocates, who don't just talk about mental health but innovate and implement solutions. We build, tinker, engineer, code, research, create, innovate. We are intrepid, impact-driven makers, systems-thinkers, and problem-solvers.
AI navigational tool for youth finding mental health services
Young people lack education and awareness of available and appropriate mental health services. Rather than having to phone adult-run call lines or navigate long surveys with dense medical and legal terminology, SearchMentalHealth is an AI-powered navigational tool that immediately matches youth with local services based on a simple "diary entry"-like input.
Built using few-shot classification with Google's Gemini AI, SAMHSA data, & NAMI resource guides.
Visit SearchMentalHealth.png){kind=small}
Teen adversity-based buddy-matching app
Navigating hardships without friends who understand what you're going through can be isolating and scary. Since adversity is often concealed at school or on social media, it's difficult to find local peer support for your unique situation. KnowMe, a digital matching system to anonymously bridge youth with other teens who understand your challenges, enables youth to have open, authentic conversations and lean on each other as support systems.
Built using the MERN stack (MongoDB, Express.js, React.js, Node.js) and Firebase
Visit KnowMe
Computational psycholinguistics research on Reddit
"Age-Based Linguistic Features of Depression via Social Media"; Social media data has become a crucial resource for understanding and detecting mental health challenges. However, there is a significant gap in our understanding of age-specific linguistic markers associated with classifying depression. This study bridges the gap by analyzing 25,241 text samples from 15,156 Reddit users with self-reported depression across two age groups: adolescents (13-20 year olds) and adults (21+).
Published in Association for Computational Linguistics (ACL); presented at RANLP 2023 and EMNLP 2023
Read the paper
Agent-based modeling research on the psychiatric bed shortage
The purpose of this project is to investigate the potential causes and perpetuating forces driving the psychiatric bed shortage in Santa Clara County. At the core, we recognize that there is a market failure which allows for such a shortage to occur. This paper utilizes agent-based modeling to simulate the expected impacts of making changes in the market including tweaking the number of mental health facilities as well as where these facilities will reside. Additionally, we extend the results from the agent-based model to political initiatives.
Currently being conducted for Economics Thesis Seminar @ Nueva
Coming soon
Human-subject neuroimaging research on puberty & depression
What is the psychiatric impact of hormone therapy on youth? Is there a link between hormone therapy and depression and suicide risk among adolescents? And how might structural/functional neuroimaging data show this connection? This study compares the neuroimaging data of trans youth undergoing hormone therapy and that of cis youth to investgiate how trans and cis youth differ neurologically and how these findings correlate with or explain mental health disparities between the two populations.
Currently being conducted in the Hong Lab @ Stanford CIBSR
Coming soon