Vi Anh Nguyen

Master's

Mathematics

ProtonVDA

Machine Learning Intern

- Processed over 400 GB of medical imaging data to ensure data integrity and consistency for accurate analysis - Enhanced model performance by retraining nnU-Net with advanced segmentation techniques, leveraging cross-validation and ensemble methods - Conducted comprehensive literature reviews to address segmentation challenges and improve algorithm robustness - Utilized cloud computing resources for model training to optimize performance and resource allocation - Developed Python scripts for data processing and visualization, facilitating model evaluation and future improvements