James Mu

Grand Prize Winner (Health Track) at HackDuke 2026. Real-time artifact rejection module for BCI signals — detects 63% of artifacts vs. 13% baseline (5x improvement) using MAD and FFT detectors, with no ML or GPU required.

Senior medical device design project. Designed a UV-C light-based device to reduce central line-associated bloodstream infections (CLABSIs) in clinical settings.

First-authored preprint from the CMU x NVIDIA hackathon. Explores federated learning pipelines for sensitive biomedical datasets.

3D Brain EEG visualization system.

Developed an nrf52833dk-based embedded system that tracks heart rate and skin temperature in real time, using Zephyr RTOS and BLE to transmit data to connected devices.

Designed an ESP32-WROOM-based benchtop pacemaker that senses heart activity and delivers pulses below a set rate. Added functionality that adjusts voltage thresholds based on recent R-wave amplitudes.

Constructed an Arduino Nano Every-based interactive LED system with a custom PCB and 3D-printed enclosure, featuring PWM-controlled lighting and real-time feedback.

Created methodology for prototyping printed electronic transdermal drug-delivery systems.

Authored paper — Hub disruption in HIV disease and cocaine use: A connectomics analysis of brain function.

Created an adjustable low-cost attachment that enables amputee rock climbers to climb safely and efficiently.