Research

MIT URTC / NeuroPlay — Co-First Author (Team of 3) [TOP 10 Graded Paper]

Conducted at MIT Lincoln Laboratory – Beaver Works Summer Institute (BWSI) Medyltics. Parkinson’s detection and severity staging using voice biomarkers; I implemented Voice severity detection modeling utilizing FNN, Random Forest, and XGBoost and wrote corresponding methods and results segments of the paper; integrated into NeuroPlay, a game-based diagnostic app. Expanded into a peer-reviewed paper at IEEE URTC 2025.

© 2025 IEEE. This is the author’s version accepted for the IEEE MIT URTC 2025. Final version available via IEEE Xplore.

Space Weather Early Detection (Individual)

Conducted individually with mentorship from Dr.Li; Researched space weather early detection using Random Forest and Neural Networks on NASA's OMNI dataset; Trained for 12-hour triage model for solar flare prediction to initiate costly MHD simulations only when necessary.

OCSEF / Matematika — Team of 3 (President/Founder & Project Lead)

Orange County Science & Engineering Fair project and extended paper. Includes lab notes, slides, and a presentation video. The finalized version was expanded into a manuscript submitted to the Journal of Emerging Investigators (JEI).

Concordia ML — Individual

NetFlow-based intrusion detection (UNSW-NB15) with feature engineering and optimized Random Forest model achieving 91% recall and 99% accuracy. Developed during the Troy Tech internship and integrated into mentor’s course materials.

COSMOS BP Research — E. coli Chemotaxis (Main Coder, Team of 2)

UC Davis COSMOS Cluster 5 biophysics project simulating E. coli run-and-tumble motion across a Gaussian chemoattractant gradient. Stochastic modeling with random walks; visualization of biased trajectories and diffusion dynamics.