About me
I graduated from the University of Chicago in 2022 with a B.A. in Biology, Genetics. Since then I have been working as a bioinformatician in the Moskowitz lab at the University of Chicago.
Research projects
My primary focus is investigating gene regulatory networks underlying congenital birth defects in various organ systems. I am specifically working to understand whether there are shared signaling pathways or transcription factors governing different congenital birth defects.
I'm also currently working on a project looking at the role of morphogenetic signaling pathways in fate specification and progenitor maintenance of neural crest-derived lineages.
Prior to my developmental biology work, my research was focused on identifying gene regulatory networks driving atrial fibrillation and heart failure pathogenesis. I specifically examined how cardiac dosage of specific transcription factors affects the transcriptional maintenance of atrial rhythm, and how disruption to that dosage leads to atrial fibrillation.
My workflows
- › maSigPro polynomial regression clustering, visualization, and characterization workflow for time-course multi-condition/treatment/genotype RNA-seq data
- › Workflow for identification of temporally expressed transcription factor modules in time-course RNA-seq data
- › tfclassify: R package/functions for identification of differentially expressed transcription factors between condition/genotype/treatment and classification into transcription factor class/family/subfamilies
- › Principal components analysis based methodology for comparing differentiation progress in time-course RNA-seq data between reference and perturbation groups
Research interests
My research interests are generally centered on the gene regulatory networks that govern the interplay between developmental timing and cellular fate commitment during mammalian organogenesis. In other words, how cells regulate what they differentiate into, but also when they decide to differentiate. To do this, I work primarily with integrated transcriptomic profiling (RNA-seq), chromatin accessibility mapping (ATAC-seq), and transcription factor occupancy analysis (ChIP-seq) to reconstruct the cis-regulatory logic that governs these very complex decisions. I ultimately want to apply this knowledge to understand the basis of congenital birth defects or other types of genetic diseases, and hopefully how to prevent them.
Personal interests
In my free time, I am currently training for a marathon (ran my first half marathon in Oct. 2025), exploring Chicago food spots, doing basketball data analytics and programming puzzles (Advent of Code 2025), and tutoring math/science. I'm also very interested in data visualization methods and creating pretty and unique ways of visualizing different types of data using Python's matplotlib and R's ggplot2.
