- Developed predictive healthcare models to interpret temporal health records using Graph Convolutional Neural Networks (GCNNs) to diagnose diseases earlier, while securely managing sensitive health data
- Enhanced performance metrics of a breast cancer machine learning model by implementing Boruta feature selection and accelerating data processing with CUDA GPU support, achieving a 75% reduction in training time
- Awarded multiple research scholarships, including a $5,000 NIH REU grant, in recognition of contributions to data-driven healthcare, specifically biomedical informatics and healthcare optimization for underserved populations