Amalie Shi
About Me
Amalie Shi is a software engineer specializing in healthcare informatics and automation systems. Her work focuses on modernizing healthcare imaging verification through the integration of Python-based automation frameworks, data pipelining, and human-centered design.
She holds a Master’s degree in Biomedical Engineering from Johns Hopkins University and a Bachelor’s degree in Biomedical Engineering from the Georgia Institute of Technology.
Amalie’s professional interests include software architecture, data engineering, and the application of automation to improve compliance, interoperability, and efficiency in clinical systems.
She is a certified Project Management Professional (PMP), Engineer in Training (EIT), ISTQB Certified Test Automation Engineer (CTAL-TAE), and ASQ Certified Six Sigma Yellow Belt (CSSYB).
Amalie has met the qualifications to take the Professional Engineering (PE) exam for the Chemical Engineering Discipline in Maryland. In the United States, eligibility for the PE exam typically requires a degree from an accredited engineering program, passing the Fundamentals of Engineering (FE) exam, and gaining relevant work experience under a licensed Professional Engineer. She is actively preparing to become a licensed Professional Engineer.
Research Experience
Amalie’s research background bridges engineering and medicine through advanced imaging, computation, and system design. Her previous work includes:
- Implantable Device Design Improvement (animal model studies)
- Peripheral Nerve Injury Kinesiology using feline models
- Myocarditis and Immune Cell Clustering in cardiac tissues
- Wearable Sensing Systems for monitoring medication adherence
These projects reflect her passion for developing technologies that enhance clinical workflows, diagnostic accuracy, and patient safety.
Contact
For inquiries, collaborations, or professional opportunities, please reach out via LinkedIn or GitHub.