Biography
I am a first-year PhD student in the Genetics Department at Stanford University. My main interest is to use statistical and machine learning approaches to better understand complex traits in a human disease context. Broadly, I hope to use these results to identify elements of biological pathways that may be amenable to therapeutic intervention.
Download my CV.
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M.Phil. in Biological Sciences, 2022
University of Cambridge | Wellcome Sanger Institute
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B.S. in Genetics, 2021
North Carolina State University
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B.S. in Computer Science, 2021
North Carolina State University
Skills
Experience
Thesis Title: Multi-omics Integration to Characterize Mechanisms of Molecular QTL from a Sepsis Cohort.
Over the course of 10 months, I worked to better understand the cis and trans regulatory architecture of gene and protein expression from the Genomic Advances in Sepsis (GAinS) cohort. I performed multiple analyses, including weighted correlation network analysis, colocalization of molecular QTL, fine mapping of QTL loci, and integration of cell-type-specific ATAC-seq peaks.
Thesis Title: Meta-Analysis of Expression Quantitative Trait Loci between Two Pre-Collaborative Cross Mouse Cohorts.
The broad theme of my work as an undergraduate was to use publicly-available gene expression data to combine knowledge across studies in large mouse populations and ask higher-order biological questions. Specifically, we analyzed genotype and gene expression data from genetic reference panels (GRPs) such as the Collaborative Cross and Diversity Outbred mouse populations.
Project Title: Deciphering Quantitative Phenotypes in Complex Diseases using Gene Co-Expression Modules
I spent two summers at the Jackson Laboratory studying the genetics of Late-Onset Alzheimer’s Disease (LOAD) in three human cohorts. We used gene co-expression modules to identify pathological axes of variation in gene expression. The modules were used to stratify patients and identify genetic modifiers of LOAD cases.
