London, Ontario, Canada • gspangen@westerneng.ca
Current research is focused on developing machine learning models for automated shoulder arthroplasty planning and post-operative surgical complication prediction from pre-operative 3D medical imaging.
Provided data management and analysis support to the Research Team by assisting with data ingestion, programming, implementation, analysis, and reporting of research outcomes.
Responsible for conducting corporate orthopedic research
PhD Thesis: Preoperative Planning and Complication Prediction for Shoulder Arthroplasty Using Machine Learning
Undergrad Thesis: In Vitro Wear of Vitamin-E Cross Linked Polyethylene
Journal of Shoulder and Elbow Surgery • May. 2025
Computers in Biology and Medicine • May. 2024
Journal of Shoulder and Elbow Surgery • July. 2023
Journal of Shoulder and Elbow Surgery International • July. 2023
Journal of Shoulder and Elbow Surgery • May. 2023
Journal of Shoulder and Elbow Surgery • Aug. 2022
Journal of Orthopaedic Research • Dec. 2021
Pytorch • Tensorflow • Scikit-Learn
Pandas • Pandera • NumPy • SciPy • Statsmodels
Plotly • Dash • Matplotlib
html • css • ruby