neurodose2025
reads live eeg and classifies low vs. high pain in real time, giving clinicians an objective signal next to the 0–10 scale
biomedical engineering @ johns hopkins. i build things that read the brain and body: eeg, emg, and the models that make sense of them.
undergraduate researcher @ thakor lab of neural engineering, johns hopkins
analyzing in-ear eeg recordings in python and building comsol finite-element models to find the best electrode placements in the ear canal
research intern @ houston methodist, center for innovation
studied hospital pain-management workflows with the innovation lab and used clinical feedback to improve the eeg pain model
neuroscience + ai research intern @ openbeing lab
modeled memory formation and loss with deep learning, and built neural network simulations of memory retrieval and motor control
president @ science national honor society, eastlake
led 200+ members. ran science fairs, outreach events for k–8 students, and funded stem camps with uw researchers and the kcls library
intern @ seattle children's research institute
cancer immunology in the sarkar lab: t-cell research, pcr, and flow cytometry
johns hopkins university
biomedical engineering
eastlake high school
sammamish, washington
neurodose2025
reads live eeg and classifies low vs. high pain in real time, giving clinicians an objective signal next to the 0–10 scale
in-ear eeg electrode optimization2026
finite-element models across ear-canal geometries and neural sources, mapping where in-ear electrodes record best. manuscript in preparation
motor imagery + vr2025
a brain-computer interface that decodes imagined movement from eeg (xgboost and svm, 92% accuracy) and drives unity games through a custom vr headset mount
milo2026
a wearable semg sensor and iphone app that show live muscle activation, exercise form, and fatigue while you train. johns hopkins–backed