Oral Pre-malignant Lesions

Aug 30, 2023
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A total transcriptomic approach to profile human and microbial transcripts in the characterization of pre-malignant lesions compared to oral squamous carcinoma (cancer/tumor) and normal (control). Built a cross-talk model to link significant human pathway activity to microbial abundance. Applied various ML approaches such as Random Forest for imputing missing smoking labels, and PCA/UMAP for dimensionality reduction.

Sequencing Bioinformatics ML Oncology Microbiome
Ph.D., Bioinformatics

My research interests include multi-omic tool development, data integration, and analyses to discover disease targets.

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