James Mu
Duke Biomedical Engineering Design Fellow.
Engineer specializing in AI-driven Brain-Computer Interfaces.
Focused on building the interface between biology and digital systems.

Technical Skills
- Embedded C/C++
- Zephyr RTOS
- MCUs (nRF52, ESP32)
- BLE
- PCB Design (KiCad, Altium)
- Analog Circuits & DSP
- Comms (I2C, SPI, UART)
- Python / MATLAB
Selected Projects
UV-C CLABSI Prevention Device
Senior medical device design project. Designed a UV-C light-based device to reduce central line-associated bloodstream infections (CLABSIs) in clinical settings.
Federated Learning for Biomedical Data
First-authored preprint from the CMU x NVIDIA hackathon. Explores federated learning pipelines for sensitive biomedical datasets. [Preprint link coming soon.]
NeuroBase
3D Brain EEG visualization system.
Embedded Heart Rate Monitor
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.
Frog Pacemaker
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.
Lightbox
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.
Transdermal Drug Delivery Prototyping
Created methodology for prototyping printed electronic transdermal drug-delivery systems.
HIV and Cocaine on Brain Function
Authored paper — Hub disruption in HIV disease and cocaine use: A connectomics analysis of brain function.
Adaptive Rock Climbing Attachment
Created an adjustable low-cost attachment that enables amputee rock climbers to climb safely and efficiently.