I'm an aspiring developer/data scientist studying CS + Math at Rutgers University.
I study the role of genetics in disease through computational methods.
My other projects use elements of software to better education.
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In this study we systematically compared the performance of four active module identification algorithms across four datasets.
We also introduce the Earth Mover's Distance as a metric to compute module similarity. Using this, we show that high performing algorithms produce complementary outputs.
We therefore introduce an algorithm that uses spectral clustering to combine the outputs of the four algorithms.
MABC 2024    Poster Presentation
In this study we develop a computational pipeline to identify candidate genes for aneuploidy using GWAS data.
MABC 2024    Poster Presentation
In this study, the PAPER (Preferential Attachment Plus Erdos Renyi) model was implemented to partition biological networks into the underlying processes.
We show that our algorithm outperforms other leading methods.
MABC 2023    Poster Presentation
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