Research

I am conducting independent research funded by the Laidlaw Foundation. My focus is on the diffusive queueing dynamics of mRNA transcription. I am currently developing stochastic models to test activation signatures in single molecule transcription data.

I analyze microscopy data to understand instability in cortical condensates within C. elegans oocytes. During the summer of 2025, I extended this work at the University of Cambridge by studying the mathematics of resource competition in soft matter and improving dry lab workflows.

I serve on the dry lab and education team for our university's iGEM team. I help develop computational tools for synthetic biology research and organize educational outreach initiatives ahead of the iGEM 2026 conference in Paris.

During my internship, I organized biological datasets to assist with therapeutic drug design. I ran testing pipelines to analyze protein docking efficiency and estimate binding affinities to various ligands.

I worked under Professor Mazin Magzoub to study the probabilistic nature of RNA splicing. My responsibilities included developing computational methods to better understand RNA exon activity.

I designed a pipeline using Fiji and ilastik to highlight protein dynamics in actomyosin cortex activation. This allowed for the simultaneous tracking and processing of live cell datasets.