WELLNESS RESEARCH OVERVIEW
PROPOSING AN EYE-TRACKING APP THAT HELPS WITH SELF-DIAGNOSING ATTENTION DEFICIT HYPERACTIVITY DISORDER (ADHD)
Researched under the guidance of Dr. Turner-Essel of the Stanford University Psychology Department
Proposed a prototype of an app that has an eye-tracking ability which diagnoses a user based on patterns in eye movements detected by a deep learning mechanism
DESIGNING AN ALGORITHM THAT MODIFIES MUSIC BASED ON STRESS LEVELS OF THE LISTENER
Wrote an algorithm in python that varies in beat and length of each segment of the music that I composed depending on the listener's current stress levels with the goal to calm down students so that they can focus before studying.
Tested 150 juniors at Monta Vista High School and calculated their change in a heartbeat and self-evaluated stress levels
Analyzed the data through chi-squared analysis and drew conclusions.
PROPOSING A PEER MATCHING PROGRAM AS A MECHANISM TO IMPROVE MENTAL HEALTH
'The Most Creative Award' winning project @ the 2017 Stanford Mental Health Innovation Challenge
Proposed AMI-Co, a matching program where students of similar interests from different districts can become each others' "amigo" while maintaining some anonymity, as a solution to the increasing suicide rates at Silicon Valley High Schools.
Moved to implement real-life to see actual results in mental health improvement, however, was met with liability issues of school district rules.