I’m a computational biologist at Denali Therapeutics, a biotech developing therapies for neurodegenerative diseases. I work with multi-omics datasets to validate biomarkers of disease progression, target engagement, and pathway modulation.
I completed my PhD in University of Michigan’s Microbiology & Immunology Department. I used computational biology approaches and bioinformatics tools to conduct my research investigating the genomics of the bacterial pathogen C. difficile. To support my genomic analyses I contributed to the development of prewas, a software package that preprocesses called SNPs prior to running bacterial genome-wide association studies (GWAS). I also wrote a software package to perform bacterial GWAS called hogwash.
While in graduate school I interned with the Genetics and Pharmacogenomics Department at Merck. I analyzed single-cell RNA sequencing data for early discovery oncology applications.
Between undergrad and my PhD I worked as a wet lab scientist performing research in an immuno-oncology lab in Seattle. While I stick to the dry lab now, I am comfortable with many lab techniques and enjoy collaborating with experimental biologists and clinicians.
PhD in Microbiology & Immunology, 2020
University of Michigan
BS in Biology, 2012