Programming & Scientific Computing

Experience developing computational workflows and research software for biomedical engineering, experimental research, signal processing, and data analysis.

MATLAB has been a primary programming environment throughout my research career, including applications in biomedical signal processing, neural decoding, experimental interfaces, data visualization, biomechanical analysis, and real-time research systems. I also use Python for scientific computing, physiological data processing, data organization, visualization, and development of reproducible analysis pipelines.

My programming work frequently involves transforming raw experimental data into structured and interpretable outputs, including signal preprocessing, feature extraction, quality assessment, statistical analysis, visualization, and automated processing across large datasets.

I approach programming primarily as an engineering and research tool: developing practical, transparent, and reproducible computational solutions that support experimental design, data interpretation, and technology evaluation.