Research Engineer
• Utilized EMG system to collect patient neural signals, ensuring meticulous adherence to principles of GCP during pivotal trials• Developed an automated data processing pipeline using Python, using libraries such as NumPy, SciPy, and Pandas, for data analysisprocess optimization, reducing analysis time by 93.8% in 4 months• Applied principles of signal processing to analyze 200+ EMG datasets and quantify muscle electrophysiological output, exhibiting theimpact of spinal neuromodulation on spinal cord injury• Supported human subject data acquisition during clinical trial using electrical spinal cord stimulator and motion capture, focusing on improving motor and autonomic function in patients with spinal cord injury