Machine Learning Intern
- Conducted data modeling and performance of single-cell gene pools using data visualizations.
- Differentiating gene variants using the UMAP technique, This statistical algorithm allows researchers to lower dimensions in order to retain important information; specifically gene expressions' included in 12 cell clusters.
- Isolating Gene variants CPED1, PAX7A and WNT16 during embryonic stage to determine percentage of genes expressed and the average gene expression using public data such as the 'Sci-RNA Sequence' library.