- Created a proof-of-concept generative VAE model for transfer learning of gene expression patterns between mouse and human scRNA-seq data, enhancing insights from mice trials to drive life-saving drug development for patients
- Processed 150,000+ "target" human RNA points to determine feature selection of the most influential genes
- Developed a model to generate human RNA data from mouse RNA while replicating mouse gene expression
- Proactively sought out guidance from mentors and team members over unfamiliar methodologies or challenges