I am a PhD student in the Daniel Kim Lab at UC Santa Cruz, in the Biomolecular Engineering and Bioinformatics program. Im am most interested in the areas of transcriptomics/epitranscriptomics and cancer biology. I work with cell-free RNA sequencing data to identify traces of cancer from a patient's blood, to work towards the creation of a powerful, sensitive diagnostic tool.
I recieved a Bachelors of Science in Quantitative Biology with a minor in Statistics from the University of Southern California. I have both academic and research experience in molecular biology (genomics/transcriptomics, cloning, and CRISPR-based editing), machine learning (clustering with PCA*/tSNE, classification with logistic regression, random forests, and scalable vector machines), and applied statistics (data science/hypothesis testing, and estimator evaluation).