GRiD (Genomic Repeat inference from Depth) is a haplotype-length estimator for VNTR and CNV regions from short-read whole-genome sequencing data. GRiD integrates normalized read depth,...
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PhD student in Biological Engineering at the University of Colorado Boulder.
I build computational tools for understanding human disease. My research focuses on polygenic risk scores for cardiovascular disease, developing methods to improve risk prediction across diverse populations. I also work on open-source software for high-throughput biological image analysis, single-cell phenotyping, and genomic simulation.
Previously at the University of Wisconsin–Eau Claire (B.S. Biology & Biochemistry) and the Kamariza Lab at UCLA. Currently advised at CU Boulder in the BioFrontiers Institute.