A 3rd year PhD Candidate studying the dynamics of computation and genetics, building bioinformatics pipelines by utilizing shell scripting, programming languages, and models to decode large-scale phylotranscriptomics data.
Bioinformatics: Methods development & Phylogenomics
 Pythia Difficulty Score Ph.D. — UIC |
 Conflict Analysis Ph.D. — UIC |
 Differential Gene Expression Fellow — Cornell |
 Sample Correlation Heatmap Fellow — Cornell |
Applied the Pythia tool to evaluate per-dataset difficulty scores across phylogenetic clusters. The distribution of predicted difficulty scores was used to classify datasets as easy, intermediate, or difficult — informing downstream phylogenetic inference strategies.
Phylogenetic conflict analysis examining the proportion of concordant, uninformative, and conflicting sites across the dataset. Each category reflects the degree of agreement between gene trees and the species tree.
Carried out bioinformatics research using Weighted Gene Correlation Network Analysis (WGCNA) to identify key genes regulating drought resistance in Acer saccharum (Sugar Maple). Pipeline included DESeq2 differential expression analysis, variance stabilizing transformation, and co-expression network construction.
"Advancing science, one code at a time."