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Bioinformatics specialist (MS, BU) focused on data science and machine learning for translational research. Currently at CMU, applying AI to drug discovery.
Conducted scRNA-Seq analysis on human samples, performing differential expression, quality control, exploratory data analysis, and functional enrichment to compare wild-type and knock-out conditions.
Developed an R Shiny app for analyzing RNA-Seq data from Huntington's Disease studies, featuring sample exploration, differential expression analysis, correlation networks, and gene set enrichment.
Contains assignments from the BF591 course, focusing on R programming for biological sciences, covering topics like data visualization, statistical analysis, and bioinformatics workflows.
Replicated figures from a study on gene signatures in skeletal muscle cells using single-cell RNA-Seq data, employing hierarchical clustering and PCA analysis.
Constructed a comprehensive database elucidating the intricate regulatory mechanisms underlying Alzheimer's Disease genetics, integrating scRNA-seq, scATAC-seq, CHIP-seq, CUT&RUN and eQTL data to i…
Contains assignments from the BF528 course, focusing on applications in translational bioinformatics, including end-to-end analyses of various omics data and bioinformatics workflows using tools li…
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