James Bell Email & Phone Number

Cambridge, Ma, Us

San Luis Obispo, California, United States

Applied knowledge of waveform asymmetry and reference electrode superposition to determine direction of nerve signals.Executed post-processing on murine model single-cuff nerve signals including: filtering, Discrete Fast Fourier Transform (DFFT), and regression analysis.Designed and trained Neural Networks to develop a robust classifier, achieving up to 85% accuracy for certain electrode arrangements.Developed and structured signal data for improved accessibility and evaluated classifier performance using detailed classification reports.

San Luis Obispo County, California, United States

Student assistant for Biomedical Modeling and Simulation (BMED 430) and Computational Neuroscience (BMED 555) courses. Aided other in their code base as well as graded assignments for professors.

San Luis Obispo, California, United States

Led a project with 9 interdisciplinary teams (~50 members) and facilitated effective cross-functional communication among teams. Aided teams where needed, becoming well rounded in Design for Manufacturing (DFM) and systems design

San Luis Obispo, California, United States

Designed and developed various sensing apparatus and data acquisition systems in C++ on ESP32 DEV and Arduino.Sensors used included: load cells, IMU, encoders, and strain gauges. Conducted circuit design and analyses using LTSPICE.Performed circuit V&V through function generators, oscilloscopes, and digital Multimeters (DMMs).

San Diego, California, United States

Assured proper Design of Experiments (DOE) and executed over 10 experiments to optimize sensor performance and perform root cause analysis for common customer complaints with sensor inaccuracies.Analyzed the impact of pH, salinity, and glucose on polymer hydration kinetics to assess transient swelling irreversibility.Conducted regression analyses using JMP to identify primary factors contributing to deviations in accuracy data.Streamlined potentiostat data acquisition using Python to reduce post-processing time and analysis drastically.Implemented proper laboratory practices during early-phase R&D to ensure the reliability and integrity of results.Ultimately developed data-driven solution to sensor early-life inaccuracy based on ferri-ferrocyanide interactions.

South San Francisco, California, United States

Created innovative techniques for measuring time-independent Faradaic leakage during cyclic voltammetry (CV).Conducted vendor-specific material characterization on implantable leads utilizing Focused Ion Beam (FIB), Scanning Electron Microscopy (SEM), and electrochemical methods (CV, Electrochemical impedance Spectroscopy (EIS), etc.).Created models to translate historical and current methodologies for evaluating device effectiveness.Developed Python-based full-stack software for management of proprietary images and facilitating explant analysis.Adhered to Good Lab Practices (GLP) and pre-IDE protocols. Ensured all tests performed complied with ASTM standards.Completed software validation on pre-IDE post-processing scripts for bench tests. Worked in both MATLAB and Python for software development.

San Diego, California, United States

Bachelor Of Science - Bs, Biomedical/Medical Engineering

Activities and Societies: Tau Beta Pi (Engineering Honor Society) EMPOWER (formerly QL+) Biomedical Engineering SocietyConcentration.

High School Diploma

Activities and Societies: DARE to Cook (Officer/Chef) Track and Field Team/Pole Vault Captain